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        "event_title":"Seminar Series in Human Genetics - Monday, September 22, 11:00 am",
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        "combined_title":"Seminar Series in Human Genetics - Monday, September 22, 11:00 am: Sohini Ramachandran, PhD, presents \u201cVariations on a theme of structure: leveraging recent relatedness and mixed-membership clustering to gain insights from high-dimensional genomics datasets\u201d",
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        "event_title":"CCMB\/DCMB Seminar Series featuring Yang Xiao, PhD (Prof. at UM)",
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        "combined_title":"CCMB\/DCMB Seminar Series featuring Yang Xiao, PhD (Prof. at UM): \u201cCreating a Cellular \u201cGoogle Map\u201d of the Brain with Spatial Multi-Omics\u201d",
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        "description":"Abstract\r\n\r\nCells are not independent; they communicate and work synergistically in the brain. Unlike traditional approaches that rely on bulk assays, novel spatial technologies preserve the tissue's architecture at near single-cell resolution, allowing for more precise functional interpretation of the cell types and states. In this talk, I will introduce spatial proteomics and spatial epigenetics, two leading methods that enable in situ detection of proteins and open chromatin. Compared to spatial transcriptomics, spatial proteomics directly addresses key challenges in visualizing cellular morphology and evaluating whether RNAs are the best proxies for proteins. I will discuss how these approaches advance our understanding of brain function and disease, particularly in psychiatric disorders and traumatic brain injury.\r\n\r\nShort Bio\r\n\r\nYang Xiao is a molecular pathologist and bioengineer working to understand the cellular changes in cerebral microenvironments following traumatic brain injury. Dr. Xiao\u2019s research integrates spatial transcriptomic, epigenomic, and proteomic data to build a cellular \u201cGoogle Map\u201d of the brain, and to uncover the gene regulatory control mechanisms involved in injury remodeling and mood disorders.\r\n\r\nDr. Xiao completed her undergraduate studies in Molecular Biology at McGill University in Canada, and conducted her Ph.D. in Biomedical Engineering at Yale University under the mentorship of Dr. Rong Fan. She carried out postdoctoral work in Systems Neuroscience and Gene Editing at Columbia University, working with Dr. Kam Leong.",
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        "combined_title":"Biomedical Engineering Seminar Series: \"Revolutionizing Immunotherapy: Bioengineered Immune Organs and Nanoscale Technologies,\" with Ankur Singh, Ph.D.",
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        "description":"Revolutionizing Immunotherapy: Bioengineered Immune Organs and Nanoscale Technologies\r\nAbstract:\r\nThe human immune system is a marvel of biological complexity, yet its dysfunction underlies numerous diseases. Designing vaccines, immunomodulatory drugs, and cell therapies against infections, cancer, inflammatory conditions, and age-related disorders requires a detailed understanding of how immune cells form and activate in primary, secondary, and ectopic tertiary immune organs. Traditionally, research on the immune system has been restricted to in vivo approaches, which do not allow for the detailed control of intracellular and extracellular processes, and to 2D in vitro models, which lack physiological relevance. These models are being investigated to understand immune function and dysfunction at the cellular, tissue, and organ levels. In this talk, I will discuss my laboratory\u2019s effort in developing synthetic, human ex vivo immune organoids to replicate the structure and function of immune tissues. I will discuss strategies to combine engineered materials and immune cells from individuals to generate antibody-secreting cells in a dish or as organ-on-chip against viral and bacterial infections and describe immunogenicity testing efforts. I will further describe the use of human immune organoids in oncology and drug development space, and subsequently describe the integration of immune organoids with complex mucosal organ-on-chip technologies, with applications in inflammation, infection, and oncology. Complementing this, I will introduce nanoengineered wires functionalized with cationic polymers to program naive T cells without pre-activation, a critical advancement for adoptive T-cell therapies. By delivering single or multiple microRNAs, I will describe how nanowires modulate T-cell fitness, influencing proliferation, phenotypic differentiation, and effector molecule secretion. These programmed T cells exhibit enhanced in vivo protection against intracellular pathogens, with tailored differentiation into T cell subtypes.",
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        "event_title":"MDCB Seminar> Addictive Nicotine and Stress Induce Convergent Mechanisms that Increase Alcohol Self\u2010administration",
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        "description":"Abstract\r\n\r\nUnderstanding the genetic basis of complex traits in admixed populations is challenging due to diverse genetic backgrounds, particularly for highly prevalent diseases. Misinterpreting admixture\u2019s impact can have significant consequences for biomedical research. This study employs advanced computational biology to investigate how admixture shapes the genetic architecture of complex traits and influences GWAS outcomes. Using the forward-in-time population genetic simulator SLiM, we model trait evolution under admixture by varying the relationship between causal variant effect sizes and selection coefficients while accounting for population size changes and migration across five admixture scenarios. \r\n\r\nOur findings reveal that GWAS power is influenced by genetic architecture and population demographic history. Traits with weak correlations between effect size and fitness (e.g., anthropometric traits) show higher GWAS power compared to traits with stronger correlations (e.g., genetic diseases). Populations with recent bottlenecks exhibit higher GWAS power, highlighting the role of rare variants. Surprisingly, fine- mapping ability remains consistent across traits. Empirical validation using data from diverse populations, including the All of Us database, supports our simulation predictions. For anthropometric traits like height, common variants exhibit moderate effects, while for traits like malignant neoplasms, rare variants show larger effects and common variants minimal effects. \r\n\r\nBy integrating population and complex trait genetics, this study provides insights into how population history shapes genetic architecture and heritability. Our findings improve understanding of genetic studies in diverse populations, enabling more accurate biomedical applications and personalized medicine strategies. \r\n\r\nAbout The Tools & Technology Seminar Series\r\n\r\nThe DCMB Tools and Technology Seminar Series is held in Palmer Commons, Room 2036, each Thursday at 12pm EST. Each seminar highlights a computational tool, technology, or methodology that is under development or in current use and is of special interest to DCMB and University researchers. Presenters are U-M researchers and students.\r\n\r\nThese seminars are live-streamed and recorded and made available for future viewing via the DCMB YouTube Channel.",
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        "combined_title":"Biomedical Engineering Seminar Series: \"A Trio of [Very] Tiny Actuators,\" with Cameron Aubin, Ph.D.",
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        "description":"Abstract:\r\nThe nascent field of microrobotics is experiencing a \u201cCambrian explosion\u201d before our very eyes. Potential applications for these diminutive devices span an array of fields, including healthcare, exploration, environmental monitoring, search and rescue, industrial maintenance, and digital agriculture. However, the design of microrobotics systems is inherently tied to scaling-law constraints; as length scales decrease, surface forces and viscous forces (among others) begin to dominate inertial forces. This leads to fabrication bottlenecks, struggles with energy\/power autonomy, and the need for specialized and often unconventional actuators. \r\n\r\nIn this talk, I will present three unconventional microactuators developed in my own group. Each leverages distinct physical principles to achieve high forces, frequencies, power densities, and integration potential in microrobotic platforms. These innovations highlight both the limitations imposed by microscale regimes and the opportunities that emerge when we embrace nontraditional transduction mechanisms for locomotion and manipulation.",
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        "combined_title":"Biomedical Engineering Seminar Series: \"Engineering Native Biological Complexity from the Inside\u2013out and Outside\u2013in,\" Featuring Cole A. DeForest, Ph.D.",
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        "event_title":"MDCB Seminar> Plant Immune Signaling",
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        "event_title":"Biomedical Engineering Seminar Series",
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        "combined_title":"Biomedical Engineering Seminar Series: \"The clock is ticking \u2013 why it\u2019s time to engineer biorhythms in vitro,\" with Sasha Cai Lesher-P\u00e9rez, Ph.D.",
        "event_subtitle":"\"The clock is ticking \u2013 why it\u2019s time to engineer biorhythms in vitro,\" with Sasha Cai Lesher-P\u00e9rez, Ph.D.",
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        "description":"The clock is ticking \u2013 why it\u2019s time to engineer biorhythms in vitro\r\nAbstract:\r\nThe mechanistic study of pathophysiology and therapeutic action has long relied upon the use of engineered in vitro cell culture systems. These systems, however, lack the periodic fluctuations, or biorhythms, in the cellular microenvironment that effectively integrate \u201ctime\u201d into these culture platforms by providing physiological inputs necessary for cellular synchronization and circadian rhythms. Given the central role that circadian rhythms play in health and disease, this absence is puzzling. For example, cardiovascular disease, diabetes, osteoarthritis, and asthma, are just a few diseases with known circadian rhythm effects. Moreover, more than half of the top 100 selling drugs target the product of a circadian gene, and multiple clinical trials have retrospectively shown the impact of time-of-day dosing on improved outcomes and increased patient lifespan. The underlying reason conventional systems largely do not integrate temporal dynamics in vitro is because they either require the use of poorly scalable external flow control systems or manual fluid exchanges. In this talk, I will discuss my group\u2019s research focusing on the development of microfluidic technologies to address the challenges of embedding time within scalable in vitro systems using microfluidic circuits. Additionally, I will describe microfluidic systems we have developed for the scalable production of microgels for use in packed bed reactors that allow us to perform rhythmic fluidic exchanges in 3D tissue cultures.",
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        "event_title":"Cracking the Code: Phil Sharp and the Biotech Revolution",
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        "description":"Thursday, October 23 at 7:00 PM\r\nMichigan Theater - Screening Room\r\n603 E Liberty St\r\nAnn Arbor, MI 48104. \r\n\r\nFilm | Documentary | NR | 1h 36m | 2025\r\n\r\nCracking the Code, narrated by Mark Ruffalo, is an inspiring story of vision, perseverance, and the power of science to change the world. Phil Sharp\u2019s journey from a Kentucky farm boy to Nobel laureate embodies the American Dream and the triumph of entrepreneurial spirit. His 1977 groundbreaking discovery of RNA splicing rewrote the rules of molecular biology and ignited a life-saving scientific revolution, laying the foundation for an industry that has become a cornerstone of global innovation and economic growth \u2013 and transformed the health of billions of patients worldwide.\r\n\r\nFeaturing a post-film Q&A with a panel presented by the University of Michigan Center for RNA Biomedicine and U-M Innovation Partnerships\r\n\r\nPanelists include:\r\n\r\nDr. Amanda Garner - Charles Walgreen Jr Professor, Professor of Medicinal Chemistry and Director, Interdepartmental Program in Medicinal Chemistry, College of Pharmacy\r\n\r\nDr. Muneesh Tewari - Ray and Ruth Anderson-Laurence M Sprague Memorial Research Professor, Professor of Internal Medicine, Associate Division Chief, Basic Research, Medical School and Professor of Biomedical Engineering, Medical School and College of Engineering\r\n\r\nDr. Nils Walter - Francis S Collins Collegiate Professor of Chemistry, Biophysics and Biological Chemistry, Professor of Chemistry, Professor of Biophysics, College of Literature, Science, and the Arts, Program Associate, Office of Graduate and Postdoctoral Studies and Professor of Biological Chemistry, Medical School\r\n\r\nKate Remus, Senior Associate Director & Business Development Group Lead, University of Michigan Innovation Partnerships\r\n\r\nAdditional panelists TBD\r\n\r\nSpecial offer for current U-M students!\r\nUse the promo code UMRNA to unlock the Complimentary Ticket option. Good for one ticket, while supplies last. Must show current U-M Student ID for entry.",
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        "event_title":"Impacts of Climate Change on Water & Health (I)",
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        "combined_title":"Impacts of Climate Change on Water & Health (I): a MAC-EPID symposium",
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        "event_title":"CCMB\/DCMB Special Seminar featuring Hagen Tilgner, PhD (Prof. at Weil Cornell Medical College)",
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        "combined_title":"CCMB\/DCMB Special Seminar featuring Hagen Tilgner, PhD (Prof. at Weil Cornell Medical College): \"A single-cell view of splicing (dys)regulation across in development and the diseases of the brain.\"",
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        "description":"Abstract\r\nComplex tissue includes diverse cell types employing distinct RNA isoforms. To untangle full-length cell-type specific brain isoforms, we developed single-cell long-read technology for many thousands of cells (from previous approaches for 10-100 cells) in fresh tissues (ScISOr-Seq; Gupta..Tilgner, 20181) and in frozen tissues (SnISOr-Seq; Hardwick..Tilgner, 20222). These approaches revealed the rules of combination of TSSs, alternative exons and poly(A) sites and their cell-type specificity. Autism-associated exons (as previously described) but also FTD-associated exons are highly variably-used across cell types2. For spatial resolution, we developed spatially-barcoded isoform sequencing with 60um (Joglekar..Tilgner, 20213), 10um (Foord..Tilgner, 20254) and 220nm (Michielsen..Tilgner, biorxiv5) spots, showing that often isoform switches correlate with precise boundaries of brain structures (e.g., choroid plexus to hippocampus). However, genes including Snap25, use a gradient of exon inclusion through the brain3. Choroid plexus epithelial cells show a dramatically distinct isoform profile, which originates most strongly from TSS usage3. During human puberty, layer4-excitatory splicing is more regulated than in other cortical layers \u2013 probably influenced by retroviral sequences4. More generally, we can now detect isoform-expression variability that does not correspond to known brain structures5.\r\n\r\n\r\nFor the NIH Brain Initiative, we have mapped single-cell isoforms across development, brain regions and species. Neurotransmitter release and reuptake as well as synapse turnover genes harbor variability in the same cell type across anatomical regions but the same cell type traced across development shows more isoform variability than across adult anatomical regions. Moreover, most cell-type-specific exons in adult mouse hippocampus behave similarly in human hippocampi. However, human brains have evolved additional cell-type specificity in splicing (Joglekar..Tilgner, 20246). Additionally, the concurrent measurement of chromatin and splicing patterns in post-mortem human brain shows broadly-speaking convergent dysregulation of both modalities in similar cell types in Alzheimer\u2019s disease but more divergence between both modalities in evolution (Hu..Tilgner, 20257). Finally, we have advanced our understanding of error sources of PacBio and ONT (Mikheenko..Tilgner, 20228) and implemented highly accurate long-read software (Prjibelski..Tilgner, 20239).",
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        "event_title":"Membrane Biophysics and the Lipid Droplet Monolayer- Department of Biological Chemistry Seminar",
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        "combined_title":"Membrane Biophysics and the Lipid Droplet Monolayer- Department of Biological Chemistry Seminar: Dr. Chris Kelly, Wayne State University",
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        "id":"140023-21886499",
        "datetime_modified":"20251007T130619",
        "datetime_start":"20251029T160000",
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        "has_end_time":1,
        "date_start":"2025-10-29",
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        "time_start":"16:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"CCMB\/DCMB Weekly Seminar Series featuring Jianping Fu, PhD (Prof. at University of Michigan Medical School)",
        "occurrence_title":"",
        "combined_title":"CCMB\/DCMB Weekly Seminar Series featuring Jianping Fu, PhD (Prof. at University of Michigan Medical School): \"Bioengineering Human Embryo and Organ Models\"",
        "event_subtitle":"\"Bioengineering Human Embryo and Organ Models\"",
        "event_type":"Workshop \/ Seminar",
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        "description":"Abstract\r\n\r\nEarly human development remains largely mysterious and challenging to study. In this talk, I will describe our efforts to harness human pluripotent stem cells (hPSCs) and bioengineering approaches to create controllable models of human peri-gastrulation development and early organogenesis. These models recapitulate key in vivo developmental landmarks, including amniotic cavity formation, amniotic ectoderm-epiblast patterning, primordial germ cell specification, embryonic germ layer organization, yolk sac formation, and primitive hematopoiesis. Our current work focuses on using these controllable models as experimental platforms to dissect the molecular and genetic mechanisms underlying cell fate decisions, tissue patterning, and self-organization during human peri-gastrulation.\r\n\r\nI will also discuss our application of bioengineering tools and hPSCs to model critical aspects of early human neural development, including neural patterning in both brain and spinal cord regions, along rostrocaudal and dorsoventral axes. Ongoing projects further aim to model key features of human heart and gut tube development, as well as somitogenesis. Together, these efforts have established a suite of bioengineered human embryo and organ models with in vivo-like spatiotemporal cell differentiation and organization, providing powerful platforms for studying human development, physiology, and disease.\r\n\r\nShort Bio\r\n\r\nJianping Fu, PhD is a professor of Engineering and Cell and Developmental Biology at the University of Michigan. His research integrates micro\/nanoengineering, single-cell technologies, and synthetic biology tools with mechanobiology, stem cell biology, and developmental biology to advance our understanding of human development, function and disease. Dr. Fu's research has made significant contributions to these areas: stem cell-based embryo models, stem cell bioengineering, mechanobiology, and micro\/nanofluidics.",
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        "event_title":"Caswell Diabetes Institute Metabolism, Obesity, Nutrition & Diabetes Symposium",
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        "combined_title":"Caswell Diabetes Institute Metabolism, Obesity, Nutrition & Diabetes Symposium",
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        "description":"Join leading researchers and health care professionals at the 4th annual CDI Metabolism, Obesity, Nutrition & Diabetes Symposium!\r\nDiscover the latest breakthroughs in diabetes, obesity, nutrition, and metabolic research through dynamic presentations from both renowned U-M faculty and external experts. Network during our interactive poster session, where you can explore new collaborations and gain insights to advance your research and impact.\r\n\r\nRegistration is now closed.",
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        "datetime_modified":"20251029T203606",
        "datetime_start":"20251030T153000",
        "datetime_end":"20251030T163000",
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        "event_title":"Biomedical Engineering Seminar Series",
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        "combined_title":"Biomedical Engineering Seminar Series: \"Intelligent and Accessible Sensing and Neurotechnology Platforms for Next-Generation Medicine,\" with Majid Aalizadeh, Ph.D.",
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        "event_title":"Cell cycle plasticity and the narrow path of escape",
        "occurrence_title":"",
        "combined_title":"Cell cycle plasticity and the narrow path of escape: Jeremy Purvis, Ph.D., Professor & Associate Chair for Education, Department of Genetics, University of North Carolina at Chapel Hill",
        "event_subtitle":"Jeremy Purvis, Ph.D., Professor & Associate Chair for Education, Department of Genetics, University of North Carolina at Chapel Hill",
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        "description":"2025 CDB Seminar Series\r\n\r\nWe are pleased to announce that Jeremy Purvis, Ph.D., will present his talk titled \"Cell cycle plasticity and the narrow path of escape\" on Wednesday, November 12, 2025, from 9:30-10:30 am in the BSRB ABC Seminar Rooms, and via live streaming. Meeting link: https:\/\/umich.zoom.us\/j\/96884969689\r\n\r\nHosted by: Idse Heemskerk, Ph.D.",
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        "event_title":"MPSDS \/ JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data",
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        "combined_title":"MPSDS \/ JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data: Bei Jiang - University of Alberta",
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        "description":"MPSDS \/ JPSM Seminar Series\r\nMPSDS M3 Series: Mastery, Methodology, Meetups\r\n\r\nIn person, room 1070, Institute for Social Research and via Zoom. \r\nThe Zoom call be be locked 10 minutes after the start of the presentation. \r\nPlease note that many of the links have changed.\r\n\r\nAchieving Fairness in AI with Synthetic Data\r\nArtificial intelligence and machine learning increasingly inform decisions in hiring, lending, healthcare, and justice. Yet real-world datasets often encode historical bias, and models trained on them can reproduce or amplify inequities. Pre-processing via fair synthetic data is a promising: if we can generate data that mitigates bias at the source while preserving signal, downstream models can be both fair and useful. This talk introduces FDA (Fair synthetic data via Data Augmentation), a statistically principled framework that makes the fairness\u2013faithfulness trade-off explicit and controllable. FDA jointly models a fair submodel and a faithful submodel, coupled by a single parameter $\\alpha \\in [0,1]$ that quantifies the fraction of bias removed. We prove clear operating points: $\\alpha=0$ yields maximal fairness (with larger deviation from the original distribution), $\\alpha=1$ recovers the original data in probability (hence in distribution), and intermediate $\\alpha$ values guarantee calibrated compromises with interpretable bounds. Practically, FDA samples directly from simple predictive distributions, avoiding heavy black-box training. We further provide theory connecting FDA\u2019s $\\alpha$ to fairness of downstream models. Together, these results deliver a transparent, efficient, and deployable path to generating fair synthetic data without sacrificing essential statistical structure.\r\n\r\nDr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, a Fellow of the Alberta Machine Intelligence Institute (Amii), and a Canada CIFAR AI Chair. She received her PhD in Biostatistics from the University of Michigan in 2014, followed by a postdoctoral appointment in the Department of Biostatistics at Columbia University (2014\u20132015), before joining the University of Alberta as an Assistant Professor in 2015. Dr. Jiang has authored more than 50 journal articles\u2014including in the Annals of Statistics, Journal of the American Statistical Association and the Journal of Machine Learning Research and over 20 peer-reviewed conference papers at venues such as NeurIPS, ICML, ICLR, and AAAI. Her research focuses on Bayesian hierarchical modeling, statistical learning methods that advance privacy and fairness, and federated statistical inference. Dr. Jiang has an extensive record of service to the statistical community. She is currently serving on the SSC Equity, Diversity, and Inclusion Committee, the CANSSI Showcase Organizing Committee, the Committee of the COPSS Presidents\u2019 Award, and the JSM 2026 Program Committee. She is an Associate Editor for the Journal of the American Statistical Association. Dr. Jiang is the 2025 recipient of the COPSS Emerging Leaders Award, recognizing early-career statistical scientists whose leadership and scholarship are shaping the field.",
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        "event_title":"Tools and Technology Seminar by Jim Clauwaert",
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        "combined_title":"Tools and Technology Seminar by Jim Clauwaert: \u201cDiscovering coding sequences using Transformer networks\u201d",
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        "datetime_start":"20251113T153000",
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        "event_title":"Biomedical Engineering Seminar Series",
        "occurrence_title":"",
        "combined_title":"Biomedical Engineering Seminar Series: \"When the Air We Breathe Ages Our Arteries: Mechanisms of Vascular Injury from Fire Smoke Inhalation,\" with Chiara Bellini, Ph.D.",
        "event_subtitle":"\"When the Air We Breathe Ages Our Arteries: Mechanisms of Vascular Injury from Fire Smoke Inhalation,\" with Chiara Bellini, Ph.D.",
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        "description":"When the Air We Breathe Ages Our Arteries: Mechanisms of Vascular Injury from Fire Smoke Inhalation\r\nAbstract:\r\nCardiovascular aging reflects the gradual loss of vascular compliance and serves as a powerful indicator of overall cardiovascular health. Hallmarks of this process include inflammation, oxidative stress, endothelial dysfunction, and aortic stiffening, all of which compromise the ability of large arteries to regulate blood flow and pressure, increasing susceptibility to disease. Our research program seeks to uncover the molecular mechanisms that drive these functional shifts and to determine how environmental stressors accelerate vascular aging. In this seminar, I will first highlight recent findings from our work mapping the trajectory of aortic aging in mice. Using single-cell transcriptomics and mechanical testing, we identified immune cell accumulation, extracellular matrix remodeling, and altered Piezo-1 signaling as key processes that increase aortic stiffness with age. I will then discuss how chronic exposure to wildfire smoke, an increasingly common environmental hazard, can recapitulate age-associated vascular maladaptation. Through a mouse model scaled to the exposure of wildland firefighters, we demonstrated that repeated inhalation of Douglas Fir smoke induces inflammation, oxidative and nitrosative stress, endothelial dysfunction, and fibrotic remodeling of the aortic wall, leading to vascular stiffening and elevated blood pressure. Collectively, these studies frame vascular aging as a unifying lens through which to understand the cardiovascular consequences of environmental exposures and highlight pathways that may guide future prevention and intervention strategies.",
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        "description":"Abstract\r\nGene expression evolution relies on regulatory mutations. Past studies suggested that optimizing gene expression by positive selection on cis-regulatory mutations is relatively easy because the corresponding adaptive landscapes are quite smooth. To what extent gene expression can be optimized via trans-regulatory mutations is, however, unknown. Analyzing the transcriptomes and proteomes of 16 yeast strains carrying all combinations of four auxotrophic mutations, we respectively construct 5,923 and 446 adaptive landscapes of mRNA and protein expressions where neighboring genotypes differ by a trans-regulatory mutation. We find that mRNA expression is less optimizable by trans-regulatory mutations than by cis-regulatory mutations due to a lower fraction of open adaptive paths via trans- than cis-changes, which may partially explain why trans-regulatory changes are rarer than cis-regulatory changes in gene expression evolution. Interestingly, the adaptive landscapes of protein expressions are substantially less rugged and thereby more navigable than those of mRNA expressions due to post-transcriptional buffering effects, suggesting that, for protein-coding genes, the evolvability of gene expression is even higher than the current estimate from adaptive landscapes of mRNA expressions. This high evolvability may have contributed to the prominence of gene expression changes as a mechanism of evolutionary adaptation.\r\n\r\n\r\nAbout the DCMB Tools & Technology Seminar Series\r\n\r\nThe DCMB Tools and Technology Seminar Series is held in Medical Science Building 1 (MS1), Room 4B700, each Thursday at 12pm EST. Each seminar highlights a computational tool, technology, or methodology that is under development or in current use and is of special interest to DCMB and University researchers. Presenters are U-M researchers and students.\r\n\r\nThese seminars are live-streamed and recorded and made available for future viewing via the DCMB YouTube Channel",
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        "event_title":"APPLICATION DEADLINE EXTENDED TO JANUARY 18TH: Up to $30,000 Grant For Student Sustainability Projects",
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        "combined_title":"APPLICATION DEADLINE EXTENDED TO JANUARY 18TH: Up to $30,000 Grant For Student Sustainability Projects: Planet Blue Student Innovation Fund and The Social and Environmental Sustainability grant.",
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        "date_start":"2026-02-18",
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        "event_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden",
        "occurrence_title":"",
        "combined_title":"MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden: Sofi Sinozich and Patrick Moynihan - Pew Research Center",
        "event_subtitle":"Sofi Sinozich and Patrick Moynihan - Pew Research Center",
        "event_type":"Lecture \/ Discussion",
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        "description":"MPSDS JPSM Seminar Series\r\nMPSDS M3 Series\r\n\r\nFebruary 18, 2026\r\n12:00 - 1:00 pm EST\r\nIn person, room 1070 Institute for Social Research, and via Zoom. The Zoom call will be locked 10 minutes are the start of the presentation.\r\n\r\nRethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden\r\n\r\nIn addition to regularly surveying the American public, Pew Research Center fields cross-national public opinion surveys in more than 20 countries annually as part of its Global Attitudes Project (GAP). The Center\u2019s International Methods team focuses on designing, implementing, monitoring, and improving these surveys throughout the year. In this talk, we present two research projects from 2025 in Australia and Sweden.\r\n\r\nMany surveys around the world, across modes and methods, have tended to show a slight left-leaning political bias. Weighting to past vote or party affiliation is a common solution, but these corrections alone may create excessive variance inflation. We faced this problem in our surveys fielded on the mixed-mode Life in Australia probability panel, administered by the Australian National University\u2019s Social Research Centre. To combat this bias, we tested a \u201cvoting-adjusted\u201d sampling approach recommended by our partners at SRC, in parallel with our previous standard stratified sampling design. Taking advantage of panel information and recent Australian elections, the new method incorporates self-reported 2022 vote into individual weights which are used as a measure of size for PPS sampling. After reviewing the technical details behind this approach, we\u2019ll discuss our findings on its impact on variance and substantive estimates compared to the standard design.\r\n\r\nPush-to-web (P2W) designs are gaining traction in Europe as an alternative to costly \u2013 and methodologically challenged \u2013 interviewer-administered approaches. For instance, the European Social Survey announced that by 2027 online and paper self-administered surveys will be their primary means of data collection replacing their traditional face-to-face approach. To better understand this mode and its potential for future waves of GAP, we recently piloted an ABS-style, sequential P2W survey in Sweden to compare with our traditional dual-frame phone design (DFRDD). Our presentation will compare P2W and DFRDD sample outcomes in terms of data quality (such as response rates, response differentiation, survey engagement, and open-ended answer quality), representativeness (versus demographic parameters for gender, education, age and geography) and attitudinal estimates (considering the viability of long-term data trends if mode transitioned in Sweden). The P2W survey included an unconditional incentive experiment as well as a paper questionnaire mailing, allowing us to present findings regarding the value of these design elements. This section of the talk concludes with key takeaways and recommendations for future mode-transition trials. \r\n\r\nSofi Sinozich is a research methodologist in international methods at Pew Research Center. She advises on complex sample design, survey implementation, and data quality assessment for international projects across the Center. Prior to joining the Center, she was a senior research analyst at Langer Research Associates, where she managed and contributed to a wide variety of survey projects, including serving as lead analyst on the ABC News\/Washington Post poll. She holds a master's degree in survey methodology from JPSM and is a member of the WAPOR Professional Standards committee.\r\n\r\nPatrick Moynihan is the associate director of international methods at Pew Research Center. Prior to joining the Center, Patrick was the survey methodologist in the U.S. Department of State\u2019s Office of Opinion Research (INR\/OPN), assistant director of the Program on Survey Research at Harvard University, and senior polling analyst at ABC News. He is a past president of the New England Chapter of the American Association for Public Opinion Research (AAPOR), served on multiple national AAPOR committees, and is currently a member of the Committee on Professional Standards for the World Association for Public Opinion Research. Moynihan received his doctorate in sociology from SUNY Stony Brook.",
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        "event_title":"DCMB Tools and Technology Seminar by Mukai Wang",
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        "combined_title":"DCMB Tools and Technology Seminar by Mukai Wang: \u201cADAPT: Analysis of Microbiome Differential Abundance by Pooling Tobit Models\u201d",
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        "description":"Abstract\r\nMicrobiome differential abundance analysis remains a challenging problem despite multiple methods proposed in the literature. The excessive zeros and compositionality of metagenomics data are two main challenges for differential abundance analysis. We propose a novel method called \u201canalysis of differential abundance by pooling Tobit models\u201d (ADAPT) to overcome these two challenges. ADAPT uniquely treats zero counts as left-censored observations to facilitate computation and enhance interpretation. ADAPT also encompasses a theoretically justified way of selecting non-differentially abundant microbiome taxa as a reference for hypothesis testing. We generate synthetic data using independent simulation frameworks to show that ADAPT has more consistent false discovery rate control and higher statistical power than competitors. We use ADAPT to analyze 16S rRNA sequencing of saliva samples and shotgun metagenomics sequencing of plaque samples collected from infants in the COHRA2 study. The results provide novel insights into the association between the oral microbiome and early childhood dental caries.\r\n\r\nAbout the DCMB Tools & Technology Seminar Series\r\n\r\nThe DCMB Tools and Technology Seminar Series is held in Medical Science Building 1 (MS1), Room 4B700, each Thursday at 12pm EST. Each seminar highlights a computational tool, technology, or methodology that is under development or in current use and is of special interest to DCMB and University researchers. Presenters are U-M researchers and students.\r\n\r\nThese seminars are live-streamed and recorded and made available for future viewing via the DCMB YouTube ChannelAbout the DCMB Tools & Technology Seminar Series\r\n\r\nThe DCMB Tools and Technology Seminar Series is held in Medical Science Building 1 (MS1), Room 4B700, each Thursday at 12pm EST. Each seminar highlights a computational tool, technology, or methodology that is under development or in current use and is of special interest to DCMB and University researchers. Presenters are U-M researchers and students.\r\n\r\nThese seminars are live-streamed and recorded and made available for future viewing via the DCMB YouTube Channel",
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        "event_title":"Biomedical Engineering (BME 500) Seminar Series",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Advancing Ultrasound Therapy and Imaging: Towards High-Precision, Real-time Solutions,\" with Ning Lu, Ph.D.",
        "event_subtitle":"\"Advancing Ultrasound Therapy and Imaging: Towards High-Precision, Real-time Solutions,\" with Ning Lu, Ph.D.",
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        "description":"Advancing Ultrasound Therapy and Imaging: Towards High-Precision, Real-time Solutions\n\nAbstract:\nAchieving high-precision diagnosis and therapy with ultrasound is challenging due to the heterogeneous nature of biological tissues. This seminar will present recent technological advances in ultrasound to improve both imaging performance and therapeutic capability.\n\nThe first part of the seminar will introduce transcranial histotripsy as a non-invasive brain therapy. Histotripsy is a non-thermal, non-ionizing ultrasound therapy that mechanically fractionates target tissue through acoustic cavitation generated by short, high-intensity ultrasound pulses. Transcranial histotripsy is particularly challenging because the intact human skull introduces severe attenuation and phase aberration. This seminar will discuss the specialized instrumentation for transcranial histotripsy, methods to ensure precise targeting and real-time monitoring (including skull aberration correction and cavitation imaging), and feasibility and safety evaluation of transcranial histotripsy in preclinical studies.\n\nThe second half of the seminar will focus on ultrafast ultrasound imaging using large-aperture arrays. By combining ultrafast acquisition techniques with parallel computing, this approach enables high-resolution volumetric imaging over a large field of view at video-rate frame rates. Two clinically relevant applications will be presented: panoramic spine imaging for diagnosis and interventional guidance, and breast ultrasound tomography for early cancer screening. Finally, we will discuss remaining technical challenges for clinical translation and highlight how advances in ultrafast imaging can be integrated with histotripsy to enable safer, more precise therapies.\n\nBio:\nDr. Ning Lu is a Senior Ultrasound Engineer at United Imaging Healthcare North America in Bellevue, Washington. She completed her postdoctoral training in the Department of Radiology at Stanford University under the mentorship of Prof. Katherine W. Ferrara, where she developed high-resolution 3D ultrasound imaging techniques for diagnostic and interventional guidance. Dr. Lu received her Ph.D. in Biomedical Engineering and Scientific Computing (joint degree) from the University of Michigan in 2023, working with Prof. Zhen Xu on MR-guided transcranial histotripsy for non-invasive brain therapy. Her research interests include biomedical ultrasound, medical instrumentation, parallel computing, and AI-driven imaging science. Her long-term career goal is to develop high-precision, affordable, personalized ultrasound solutions for therapy, diagnosis, and health monitoring.",
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        "event_title":"Statistics and machine learning for studying air pollution using low-cost sensors (Environmental Statistics Day Symposium)",
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        "combined_title":"Statistics and machine learning for studying air pollution using low-cost sensors (Environmental Statistics Day Symposium): Keynote lecture provided by Abhi Datta, PhD from the Johns Hopkins Bloomberg School of Public Health",
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        "event_title":"Under Pressure: Keratin 9 regulates mechanosensitive YAP1 signaling in the palmoplantar epidermis",
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        "event_title":"CPOD Winter 2026 Seminar Series: \"How cells force the gut into shape\"",
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        "description":"Abstract\r\n\r\nMachine learning is becoming increasingly relevant and accessible in every field. But what does the machine actually learn? The demand for explainable machine learning has never been higher--especially in sensitive fields like healthcare. An explainable machine learning algorithm can describe the learned relationships between input data and output predictions, as well as describe the reasons for single specific prediction. The list of truly explainable machine learning algorithms is short and often limited by poor predictive performance at complex tasks. We have developed a novel fuzzy neural network that exhibits both high explainability and accuracy in a variety of applications from classifying disease outcomes to regressing drug doses. This algorithm can use both domain-expert knowledge and complex data to converge on complex solutions. We present how this algorithm works for new users, the depth of explainability it offers, and highlight its performance in various applications.\r\n\r\nAbout the DCMB Tools & Technology Seminar Series\r\n\r\nThe DCMB Tools and Technology Seminar Series is held in Medical Science Building 1 (MS1), Room 4B700, each Thursday at 12pm EST. Each seminar highlights a computational tool, technology, or methodology that is under development or in current use and is of special interest to DCMB and University researchers. Presenters are U-M researchers and students.\r\n\r\nThese seminars are live-streamed and recorded and made available for future viewing via the DCMB YouTube Channel",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Engineering immunotherapies for autoimmunity and cancer,\" with Cory Berkland, Ph.D.",
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        "description":"Engineering immunotherapies for autoimmunity and cancer\n\nAbstract:\nEffective delivery of drugs to direct immune responses requires an understanding of biological barriers, physicochemical properties of drug molecules, formulation and transport in vivo.  Designing molecular structures that persist at the administration site or that promote drainage to regional lymphatic networks may enhance immune responses while sparing immune-related adverse events.  Here, drug transport and local elimination mechanisms will be overviewed.  Then, examples of molecular designs to direct drug delivery will be presented.  Autoimmune therapies were designed by our lab to promote the drainage of autoantigens to secondary lymphoid organs to treat autoimmune diseases.  Specifically, the size and solubility of these molecular constructs were tuned to promote access to the lymphatic compartment and induce immune tolerance in mouse models of type 1 diabetes.  Our lab has also recently explored the design of immunostimulants that persist in tumor tissue after intratumoral\/perilesional injection.  Intratumoral immunotherapy is proposed to work synergistically with checkpoint inhibitors making a nonresponsive \u2018cold\u2019 tumor \u2018hot\u2019 by recruiting and activating tumor infiltrating lymphocytes.  This approach can suffer from systemic immune-related adverse reactions, however, if enough immunostimulant escapes the site of administration.  Data on the use of electrostatic mechanisms to promote tumor retention will be presented.  These examples underscore the need for rational design of drug molecules or formulations based upon the route of delivery and biological barriers encountered.     \n\nBio:\nCory Berkland is the Mark and Becky Levin Professor in the Departments of Biomedical Engineering and Chemistry at Washington University in Saint Louis.  Previously, he was the Solon E. Summerfield Professor in the Department of Pharmaceutical Chemistry and in the Department of Chemical Engineering at The University of Kansas.  He received MS and PhD degrees from the Department of Chemical and Biomolecular Engineering at the University of Illinois in Urbana-Champaign and a BS degree in Chemical Engineering from Iowa State University in Ames.  His lab studies pharmaceuticals and materials with an emphasis on molecular design and transport in the human body.  He is a co-founder of Orbis Biosciences (acquired by Adare Pharmaceuticals), Savara Pharmaceuticals (NASDAQ:SVRA), Bond Biosciences, Kinimmune, Axioforce, and other start-ups.  He has served as a board member, executive, and fundraiser for these companies.",
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        "datetime_modified":"20260303T145140",
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        "event_title":"CCMB\/DCMB Weekly Seminar Series featuring Li-San Wang, PhD (Associate Dean for Computing, Perelman School of Medicine)",
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        "combined_title":"CCMB\/DCMB Weekly Seminar Series featuring Li-San Wang, PhD (Associate Dean for Computing, Perelman School of Medicine): \"From Association to Mechanism at Scale: Computational Frameworks for Alzheimer\u2019s Disease Genomics\"",
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        "event_title":"DCMB Tools and Technology Seminar by Weizhou Qian",
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        "description":"Patterned Biomaterials: New Tools to Probe and Control Complex Biological Systems\n\nAbstract:\nEngineered materials and molecular sensing tools are transforming how we study and control complex biological systems. Yet many technologies operate at a single scale\u2014either manipulating cellular environments without molecular precision or profiling molecular signals without spatial or mechanical context. My lab addresses this challenge through chemical and materials innovation, developing scalable platforms that integrate molecular design with quantitative analysis. We focus on two complementary directions: (1) physico-chemical design of soft interfaces with tunable nanoscale architecture and dynamic mechanics to probe and control material\u2013biology interactions, and (2) biomolecular sensing platforms that combine polymer chemistry, optical or electrochemical detection, and data-driven analysis for accessible diagnostics. In this talk, I will highlight two representative efforts: nature-inspired nanopatterned coatings with dynamically tunable surface topography for long-term antibacterial activity, and integrated bioanalytical sensing technologies for early, point-of-care detection of sepsis.  \n\nBio:\nDr. Jouha Min is an Assistant Professor in the Department of Chemical Engineering at University of Michigan. She received her B.S. in Chemical Engineering from Cornell University in 2010 and her Ph.D. in Chemical Engineering from MIT, where she was advised by Paula Hammond and Richard Braatz. She conducted her postdoctoral research with Ralph Weissleder at Harvard Medical School and Massachusetts General Hospital, where she worked at the interface of engineering, biology, and clinical translation. Dr. Min\u2019s research group applies core principles of chemical and biological engineering\u2014including transport phenomena, reaction kinetics, materials synthesis, and systems-level analysis\u2014to develop new methodologies for probing and controlling material\u2013biology interactions across three-dimensional space and time. Her work aims to establish a quantitative and mechanistic foundation for transformative advances in disease diagnosis, treatment, and prevention. She is the recipient of several honors, including the NSF CAREER Award (2025), the NIH R35 MIRA Award (2025), and the V Foundation V Scholar Award (2023).",
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        "event_title":"CPOD Winter\/Spring 2026 Seminar Series: \"Wnt you thought you knew about Wnt signaling\"",
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        "event_title":"MPSDS \/ JPSM Seminar Series: From Survey to SurvAI:  The Promises and Precautions of AI for Survey Research",
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        "combined_title":"9th Annual Omenn Lecture presented by Aviv Regev, PhD (VP Genentech Research and Early Development): \"From Cell Atlases to Medicines, with AI\"",
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        "event_title":"SCSAP Special Research Seminar and Town Hall Event",
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        "combined_title":"SCSAP Special Research Seminar and Town Hall Event: Aviv Regev, PhD, Genentech",
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        "event_title":"Building Industry Partnerships Webinar Series",
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        "description":"Federal funding trends, including from NSF, DOE and ARPA agencies, indicate increasing interest in translational research \u2013 supporting the pathways for fundamental discoveries to have broader societal, economic or public impact. New funding programs might require researchers to demonstrate their research impact at the proposal stage through established partnerships with companies that signal market interest or investment, formal commitments like licensing agreements, and\/or evidence of technology readiness levels. Researchers who build these industry partnerships in advance will have a critical edge in a competitive funding landscape.\n\nThe Office of Research Development will host a webinar series for U-M researchers that explains why and how to build industry partnerships that advance mutual R&D goals. Webinars will take place noon-1:30 pm each day; calendar invites will be sent upon registration. \n\nFebruary 25: Discovery to Innovation - Gain a practical framework for deciding when to engage industry, how to demonstrate impact credibly and which funding mechanisms align with research maturing and scholarly goals.\nMarch 26: Industry Engagement for Faculty: From Early Signals to Funded Partnerships - Learn meaningful engagement strategies across the research lifecycle, emphasizing alignment with academic incentives, research integrity and appropriate funding mechanisms. \nApril 9: Building Industry Partnerships that Last: Whom to Talk to, What to Ask - Learn how to identify the right industry counterparts, structure early conversations to surface meaningful research and translational opportunities and set expectations that can evolve into sustained collaboration.   \nContact RD-Support@umich.edu with questions.",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Surgery with sound waves: delivering acoustic energy to the body for ultrasound surgery (histotripsy),\" with Ellen Yeats",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Bioengineering Human Embryo and Organ Models,\" with Jianping Fu, Ph.D.",
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        "description":"Bioengineering Human Embryo and Organ Models\n\nAbstract:\nEarly human development remains largely mysterious and challenging to study. In this talk, I will describe our efforts to harness human pluripotent stem cells (hPSCs) and bioengineering approaches to create controllable models of human peri-gastrulation development and early organogenesis. These models recapitulate key in vivo developmental landmarks, including amniotic cavity formation, amniotic ectoderm-epiblast patterning, primordial germ cell specification, embryonic germ layer organization, yolk sac formation, and primitive hematopoiesis. Our current work focuses on using these controllable models as experimental platforms to dissect the molecular and genetic mechanisms underlying cell fate decisions, tissue patterning, and self-organization during human peri-gastrulation.\n\nI will also discuss our application of bioengineering tools and hPSCs to model critical aspects of early human neural development, including neural patterning in both brain and spinal cord regions, along rostrocaudal and dorsoventral axes. Ongoing projects further aim to model key features of human heart and gut tube development, as well as somitogenesis. Together, these efforts have established a suite of bioengineered human embryo and organ models with in vivo-like spatiotemporal cell differentiation and organization, providing powerful platforms for studying human development, physiology, and disease.\n\nBio:\nDr. Jianping Fu is a Professor of Mechanical Engineering at the University of Michigan whose research bridges bioengineering, stem cell biology, and developmental biology to advance understanding of human development and disease. He is internationally recognized for pioneering work in \u201cArtificial Embryos,\u201d named one of MIT Technology Review\u2019s 10 Breakthrough Technologies of 2018 and \u201cthe Method of 2023\u201d by Nature Methods. Dr. Fu has received major awards from the National Science Foundation, the American Chemical Society, the Alexander von Humboldt Foundation, and the Biomedical Engineering Society (BMES). He is an elected Fellow of AAAS, AIMBE, RSC, ASME, IAMBE, and BMES, and serves on the Governing Council of IAMBE. In addition to his research, Dr. Fu has been deeply engaged in scientific leadership and service. He served on the ISSCR Guidelines Working Group and now chairs the ISSCR Scientific Programs Committee. In recognition of his service, he received the ISSCR Public Service Award in 2025. He is currently Editor-in-Chief of npj Regenerative Medicine and serves on editorial boards of several journals including Cell Stem Cell and Biophysical Journal.",
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        "event_title":"Human Genetics Research Seminar Series",
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        "description":"AI tools for research are advancing at a pace that often outstrips traditional academic training. These tools are powerful, but using them effectively to produce high quality research is a skill in itself. So how do we use AI to move faster and accelerate biological discovery without sacrificing scientific rigor and our sense of engagement with our work?\n\nWe hope to build a community dedicated to keeping up with new tools, sharing ai-augmented research workflows what work well, and staying human in an AI world.  \n\nWe are launching the Biomedical Gen AI Learning Community!\n\nOpen to: Anyone in the UM bioinformatics and biomedical community - researchers, students, and staff. \n\nHow The Learning Community Works:\nOur biweekly 60-minute sessions are broken into three high-impact segments:\n\nThe Spotlight (20 mins): A volunteer demonstrates a specific workflow they\u2019ve integrated into their research. (Examples: Hypothesis generation, AI agent creation, GitHub management, or Literature synthesis).\n\nFoundational Knowledge (20 mins): A focused tutorial on the skills needed to direct AI tools and critically evaluate outputs. (Example: Key safety considerations when deploying agents or best practices for software management).\n\nThe Human Side (10 mins): An open, facilitated discussion on navigating our changing relationship with work, learning, and intellectual identity in the age of AI. (Example: The Engagement Gap: Talking about the 'boredom' of automation\u2014how to stay excited about a project when the AI is doing the heavy lifting?)\n\nOur First Session\nTopic: Literature Research: Search to Synthesis\nWhen: April 21st | 3:00 - 4:00 pm\nWhere: Medical Science Building 1 (MS1), Room 4B700\n\nWe\u2019ll be walking through a workflow for literature search and synthesis using tools like Claude, NotebookLM and SciSpace to synthesize high-quality reports without losing the \"gold\" in the data.\n\nThe Biomedical Gen AI Learning Community is sponsored by the Center for Computational Medicine and Bioinformatics (DCMB)",
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        "event_title":"Biomedical Engineering (BME 500) Seminar Series",
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        "combined_title":"Biomedical Engineering (BME 500) Seminar Series: \"Tissue-Inspired Synthetic Biomaterials and Applications in Cancer,\" with Shelly R. Peyton, Ph.D.",
        "event_subtitle":"\"Tissue-Inspired Synthetic Biomaterials and Applications in Cancer,\" with Shelly R. Peyton, Ph.D.",
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        "description":"Tissue-Inspired Synthetic Biomaterials and Applications in Cancer\nAbstract:\nMost environments available to study how human cells behave are two-dimensional (2D). In real tissue, cells live surrounded by a three-dimensional (3D) extracellular matrix (ECM), which provides structure, drives cell function, and is dynamically remodeled by the cells within. A major limitation of the few examples of 3D cell culture environments that do exist (typically made from assemblages of proteins) is that their constituents are undefined, and they have unacceptable batch-to-batch variability. On the other end of the spectrum, the major drawbacks to using engineered, synthetic environments is their over-simplicity and lack of resemblance to real tissue. My lab\u2019s unique approach to biomaterial design is that we create cheap and easy-to-use, yet complex representations of the ECM of specific tissues. My lab\u2019s tissue-customized environments are hydrogels from synthetic polymers that replicate a tissue\u2019s 3D geometry, the stiffness of that tissue, and all the integrin-binding and protease-degradable components of the ECM of the tissue of interest. We made biomaterial designs for brain, bone marrow, omentum, and lung, and we have applied our approach to several complex problems in biology (e.g., astrocyte reactivity, mesenchymal stem cell differentiation, ovarian cancer, etc.). \n\nIn this seminar, I\u2019ll discuss how we use our engineering principles to create these environments and show how we\u2019ve begun to use them to study grand challenges in cancer biology. One of the overwhelming challenges in treating metastatic cancer is that tumors in the brain, lung, skeleton, and liver are typically drug resistant, and we do not have a good understanding of why these tumors evade therapy. The biomaterials we have built over the years are well suited for drug screening applications and to study how the extracellular microenvironment regulates the metastatic spread of cancer. \nBio:\nShelly Peyton is Professor and Department Chair of Biomedical Engineering at Tufts University. She received her B.S. in Chemical Engineering from Northwestern University in 2002 and went on to obtain her MS and PhD in Chemical Engineering from the University of California, Irvine in 2007. She was then an NIH Kirschstein post-doctoral fellow in the Biological Engineering department at MIT before starting her academic appointment in Chemical Engineering at the University of Massachusetts Amherst in 2011. At UMass she was named the Barry and Afsaneh Siadat Professional Development Professor, Armstrong Professor, Conti Fellow, and Provost Professor before moving to Tufts University to become chair of Biomedical Engineering in 2024. At Tufts, the Peyton lab is an interdisciplinary group of engineers and biologists that create bioinspired and dynamic models of human tissue with both synthetic biomaterials and decellularized tissues. They use these tissue models to 1) understand the physical relationship between metastatic cancer cells and the tissues to which they spread, 2) uncover the role of the extracellular matrix and its dynamics in drug resistant cancers, and 3) quantify how forces from traumatic brain injury damage cells within the brain. Shelly\u2019s honors include a Pew Biomedical Scholarship, an NIH New Innovator Award, an NSF CAREER award, Biomedical Engineering Society fellow, and an American Institute for Medical and Biological Engineering fellow. Outside of her research and her Chair\u2019s role, Shelly is passionate about graduate student training and diversifying the academy. She was awarded an Outstanding Teaching Award and a Diversity Award from the College of Engineering at UMass, has led an REU Site, co-directed a Biotechnology (BTP) NIH T32 training program, and was lead PI of a PREP program at UMass. Since 2013, the Peyton has continuously run an NSF- and privately funded program called Engineering the Cell, which pays high school students with no prior research experience to work in the Peyton lab for 5 weeks every summer. Outside of her work, Shelly is an avid cyclist, enjoys board games, lego, travel, and coaches ultimate frisbee.",
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        "event_title":"Impacts of Climate Change on Water & Health (II)",
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        "description":"Since 2003, our semi-annual symposia series highlights current infectious disease topics selecting speakers who represent a range of disciplines and perspectives. All are invited to attend and participate in interdisciplinary discussions of the topic.\n\n\nTalks:\n\n\"Infectious Diseases in an Era of Global Change\" Ayesha Mahmud, PhD (Associate Professor of Demography, University of California, Berkeley) https:\/\/ayeshamahmud.github.io\/\n\n\"Sanitation, health, & climate in urban informal settlements\" Joe Brown, PhD PE (Professor of Environmental Sciences & Engineering, University of North Carolina at Chapel Hill) https:\/\/waterinstitute.unc.edu\/team\/brown-joe \n\n\"Warming Worlds, Shifting Risk: Mosquitoes in a Changing Climate\" Courtney Murdock, PhD (Associate Professor of Entomology, Cornell University) https:\/\/www.themurdocklab.com",
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        "event_title":"Human Genetics Research Seminar Series",
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        "event_subtitle":"presenting Aaron Ragsdale, PhD Assistant Professor Integrative Biology University of Wisconsin-Madison",
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        "event_title":"Single Cell Spatial Analysis Monthly Seminar Series",
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        "combined_title":"SCSAP Special Research Seminar: \"Working toward cancer care in 2030 : AI+X for Precision Medicine 2.0, Population Health, Aging and Global Health Impact\", Joe Poh Sheng YEONG, IMCB (A*STAR) and Singapore General Hospital",
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        "description":"The Center for RNA Biomedicine presents Sarah Herridge, Ph.D., Director, Research and Scientific Affairs, BioNTech Australia\n\nOn Monday, June 1, the Center for RNA Biomedicine will host RNA biology and RNA drug development expert Sarah Herridge, Ph.D., for a lecture titled, \u201cBeyond COVID19 Vaccines: Translating RNA Science into Real-World Medicines.\u201d\n\nSchedule \u2014 Monday, June 1 | 4 p.m. \u2013 5 p.m.\n4:00 p.m \u2013 5:00 p.m. | Sarah Herridge, Ph.D. Lecture \u2014 3695 North Lecture Hall, Medical Science Building II\n\nAbstract and Speaker Info\n\nAbstract:\nRNA medicines have long promised a new way to treat disease, offering speed, precision, and modularity that other therapeutic modalities may struggle to match. Well before the COVID-19 pandemic, RNA-based approaches, including mRNA and oligonucleotide therapeutics, were already reshaping how disease could be targeted, particularly in oncology. These early programs demonstrated both the potential of RNA and the practical complexity of translating it into robust, patient-ready medicines.\n\nThe COVID-19 pandemic marked a pivotal moment for the field. RNA science was translated at unprecedented speed and scale into effective vaccines, demonstrating clear real-world impact. As the world moves beyond the pandemic, the question becomes: what comes next for RNA medicines? This talk explores how lessons from RNA therapeutics and vaccines are now converging to expand RNA-based approaches beyond infectious disease, particularly in oncology and other complex indications.\n\nDrawing on her own career spanning academia, startups, and biopharma, Sarah will share a personal perspective on the evolution of RNA medicines. She traces her journey from leading an academic laboratory to founding and scaling two startups at the intersection of oligonucleotide therapeutics and artificial intelligence, and now to supporting RNA research translation and commercialization within a global biotech organization. This journey provides a practical lens on how RNA science moves from discovery to development, and why translational thinking must begin long before clinical trials.\n\nFinally, the presentation will focus on how BioNTech is working with the global research ecosystem to support this next phase of RNA innovation. By combining deep RNA expertise with partnerships, manufacturing, and mentoring capabilities, BioNTech aims to help researchers move RNA discoveries from the lab toward innovative medicines, ensuring that the momentum built during the pandemic translates into lasting health impact.\n\n\nAbout Sarah Herridge, Ph.D.:\nDr. Sarah Herridge is an accomplished leader with over 15 years of experience in RNA therapeutics development for oncology, spanning the full spectrum from target discovery to clinical trials. She earned her PhD in Biochemistry in Germany and completed her postdoctoral training at Cold Spring Harbor Laboratory, where she collaborated with Ionis Pharmaceuticals on pioneering RNA-based cancer therapies. Sarah has held leadership positions in academia, including as Lab Head at the University of Otago in New Zealand, and served as the Founder and Chief Scientific Officer for two startups in the RNA therapeutics sector: Amaroq Therapeutics and Fold AI.\n\nShe currently serves as Director of Research & Scientific Affairs at BioNTech in Australia. In her current role, Sarah leads the development and execution of research strategy, manages scientific collaborations and external partnerships, oversees the onboarding of new research projects, and drives the implementation of scientific engagement initiatives to advance BioNTech\u2019s mission globally.",
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        "datetime_start":"20260616T140000",
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        "date_start":"2026-06-16",
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        "time_start":"14:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Rare Failures, Public Perception, and Automated Driving: Why Exceptional Events Shape Trust in Emerging Safety Technologies",
        "occurrence_title":"",
        "combined_title":"Rare Failures, Public Perception, and Automated Driving: Why Exceptional Events Shape Trust in Emerging Safety Technologies: Professor Daniel V. McGehee",
        "event_subtitle":"Professor Daniel V. McGehee",
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        "description":"This lecture explores the \u201cvaccine paradox\u201d of automated driving: why rare, highly publicized failures of self-driving vehicles provoke intense emotional and political reactions while the far more common harms of human driving remain normalized. Drawing on risk psychology, public-health history, and human-factors research, Prof. McGehee examines how visibility imbalance, trust, and perceptions of control shape public acceptance of emerging vehicle automation. Using real-world examples from automated-vehicle deployments alongside lessons from vaccine adoption and safety communication, the talk argues that societal expectations for perfection in automation may obscure meaningful population-level safety gains. The presentation concludes by discussing how transparency, responsible system design, and careful language around driver-assistance technologies can help align public perception with evidence as automated driving evolves toward broader deployment.\n---\nAbout the speaker: Daniel V. McGehee, is Professor of Industrial and Systems Engineering at the University of Iowa and Director of the Driving Safety Research Institute (DSRI) and the National Advanced Driving Simulator (NADS), one of the world\u2019s largest and most advanced ground-vehicle simulation facilities. For more than three decades, his work has focused on human factors, driver behavior, and the safe integration of advanced vehicle technologies, including automated driving and driver-assistance systems. Dr. McGehee\u2019s research spans engineering, medicine, public health, and transportation policy, with projects funded by the U.S. Department of Transportation, National Institutes of Health, and the automotive industry. He has led over $40 million in sponsored research and authored more than 160 scientific publications addressing driver attention, crash avoidance, vulnerable road users, and the design of vehicle interfaces. His work combines naturalistic driving studies, simulation, and field research to better understand how humans interact with emerging mobility systems. At the University of Iowa, he holds joint appointments in emergency medicine and public health, reflecting his longstanding interest in traffic safety as a population-level health issue.",
        "occurrence_notes":"Register for login details",
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