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DTSTAMP:20250512T151636
DTSTART;TZID=America/Detroit:20250523T110000
DTEND;TZID=America/Detroit:20250523T130000
SUMMARY:Workshop / Seminar:EEB Student Dissertation Defense - Comparing micro- and macroevolutionary diversification dynamics between Neotropical montane and lowland birds
DESCRIPTION:Abstract:\nThe tropical Andes mountains and adjacent Amazonian lowlands are home to more species than anywhere else in the world. Prior work suggests that avian species richness declines but speciation rates increase as elevation increases in this biodiversity hotspot. Tropical mountains are also characterized by steep elevational turnover in environmental conditions\, including the availability of oxygen. My thesis compares diversification and selection dynamics between lowland Amazonian and Andean montane species\, with a special emphasis on tanagers\, an iconic Neotropical radiation and the most speciose family of songbirds. I focus on how patterns and processes of the early stages of speciation vary across elevation in the Andes-Amazonia system\, and on the molecular evolutionary consequences of hypoxic stress at high altitudes.\nWhether large macroevolutionary biodiversity gradients emerge from underlying microevolutionary processes is an active area of research in evolutionary biology. For example\, elevational gradients in speciation rates could be caused by geographic variation in the tendency for populations to become isolated and diverged from one another. A major focus of my dissertation is evaluating whether Neotropical montane and lowland regions differentially promote incipient speciation\, linking microevolutionary processes to broader biodiversity patterns. First (Chapter 2)\, I aggregated previously published mitochondrial phylogeographic datasets from birds in the Andes-Amazonia system (~7\,000 sequences from 103 species)\, to test whether levels of intraspecific population structure vary across elevation and whether rates of population differentiation predict speciation rates. My results revealed that phylogeographic structuring is higher in montane birds and increases with elevation\, but rates of population differentiation did not predict speciation rates in the focal set of taxa.\nNext (Chapter 3)\, I more rigorously explored how Andean and Amazonian landscapes promote population isolation and differentiation using whole-genome comparative phylogeography in 8 species of Tangara tanagers (4 Andean and 4 Amazonian). My results show that Andean species consist of more differentiated\, less connected\, smaller\, and less genetically diverse populations than Amazonian species. This supports a scenario of greater incipient speciation in the mountains\, but these same characteristics also reduce persistence in a theoretical metapopulation framework. In conjunction with results from my previous chapter\, I suggest that there exists a tension between factors promoting divergence versus persistence\, which could contribute to observed elevational biodiversity gradients in Neotropical birds.\nFinally\, elevational gradients are also marked by increasing hypoxia at higher altitudes\, an important physiological stress owing to the essential role that oxygen plays in cellular energy production. In Chapter 4\, I use comparative genomic methods across 20 species of Neotropical tanagers to test whether signatures of selection in oxidative phosphorylation genes vary with elevation. I find evidence of stronger purifying selection on components of this metabolic pathway in species with higher elevational distributions\, expanding our understanding of how tropical montane species cope with reduced oxygen availability.
UID:135603-21876986@events.umich.edu
URL:https://events.umich.edu/event/135603
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:biological science,Bsbsigns,department of ecology and evolutionary biology,developmental biology,Dissertation,Ecology & Biology,Ecology And Evolutionary Biology,eeb,Graduate School,Graduate Students
LOCATION:Biological Sciences Building - 1010
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250421T113230
DTSTART;TZID=America/Detroit:20250523T120000
DTEND;TZID=America/Detroit:20250523T160000
SUMMARY:Exhibition:Bloody Work: Lexington and Concord 1775
DESCRIPTION:The William L. Clements Library is pleased to announce a forthcoming exhibition in recognition of the 250th Anniversary of the military hostilities that began the American Revolutionary War. The Battles of Lexington and Concord are firmly established in American memory as the culmination of a range of governmental\, political\, economic\, and social tensions that amplified in the decade leading up to 1775. In this exhibit\, visitors will have the opportunity to see original historical manuscript letters\, documents\, newspapers\, and artwork that reveal aspects of the bloody work of Empire and individual alike in April 1775.\n\nAmong the items on display will be Commander in Chief of the British Army\, General Thomas Gage's draft orders for the Concord Expedition\, April 18\, 1775\; a bundle of letters collected by former Sons of Liberty supporter Dr. Benjamin Church\, which he secretly turned over to British Army intelligence\; letters by Silas Deane\, John Hancock\, and Rachel Revere\; and much more.\n\nOpen weekdays from 12-4 pm.
UID:134875-21875540@events.umich.edu
URL:https://events.umich.edu/event/134875
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:history,Library,libraries,Free,Exhibition,Exhibit,Ann Arbor,Americana,american history,american culture
LOCATION:William Clements Library
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250523T090156
DTSTART;TZID=America/Detroit:20250523T120000
DTEND;TZID=America/Detroit:20250523T130000
SUMMARY:Workshop / Seminar:Frontiers in Scientific Machine Learning Seminar 14: Inferring and Characterizing Cellular and Neural Dynamics with Geometric and Topological Deep Learning
DESCRIPTION:This is a hybrid event. Attendees can join on-campus or virtually via Zoom.\nZoom ID - 978 2352 7756\, Passcode - (last year in format YYYY)\n\nAbstract: \nIn the last decade there has been a data revolution in biology with the advent of high-throughput high dimensional data modalities such as single-cell RNA-sequencing\, fMRI data\, molecular structure data and other modalities. A key issue in these data types is that they provide static snapshots of highly dynamic biological entities. In this talk I will cover our work inferring and characterizing cellular and neural dynamics during various processes. First\, I will cover how to infer cell state dynamics during differentiation and disease with a  neural ODE framework called MIOflow that is regularized with data geometric and manifold priors. Then I will discuss RITINI\, our recent graph ODE network which allows us to learn gene regulation that underlies cellular dynamics\, and potentially find new targets for treatments of disease. I will showcase applications of these in triple negative breast cancer and human embryonic stem cell differentiation. Once these dynamics are available\, I will showcase tools to quantify and classify these dynamics based on graph signal processing and topological data analysis. This will involve our learnable geometric scattering transform to capture spatial signal patterns\, as well as persistence homology and other tools to quantify time-varying patterns. Applications to characterization of brain activity data will be presented. \n\n\nBio:\nSmita Krishnaswamy is an Associate Professor in the departments of Computer Science (SEAS) and Genetics (YSM). She is part of the programs in Applied Mathematics\, Computational Biology & Bioinformatics and Interdisciplinary Neuroscience. She is also affiliated with the Yale Institute for the foundations of data science\, Wu-Tsai Institute\, Yale Cancer Center. Her lab works on fundamental deep learning and machine learning developments for representing and learning from big data. Her techniques incorporate mathematical priors from graph spectral theory\, manifold learning\, signal processing\, and topology into machine learning and deep learning frameworks\, in order to denoise and model the underlying systems faithfully for predictive insight. Currently her methods are being widely used for data denoising\, visualization\, generative modeling\, dynamics. modeling\, comparative analysis and domain transfer in datasets arising from stem cell biology\, cancer\, immunology and structural biology (among others).\nPrior to joining Yale\, she completed her postdoctoral training at Columbia University in the systems biology department where she focused on learning computational models of cellular signaling from single-cell mass cytometry data. She obtained her Ph.D. from EECS department at University of Michigan where her research focused on algorithms for automated synthesis and probabilistic verification of nanoscale logic circuits. Following her time in Michigan\, she spent 2 years at IBM's TJ Watson Research Center as a researcher in the systems division where she worked on automated bug finding and error correction in logic. Her work over the years has won several awards including the NSF CAREER Award\, Sloan Faculty Fellowship\, and Blavatnik fund for Innovation.
UID:135738-21877210@events.umich.edu
URL:https://events.umich.edu/event/135738
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Biology,Sciml,Computational Modeling,Deep Learning,Machine Learning,Ai In Science And Engineering
LOCATION:GG Brown Laboratory - 1642
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260112T144046
DTSTART;TZID=America/Detroit:20250523T120000
DTEND;TZID=America/Detroit:20250523T123000
SUMMARY:Well-being:Heartfulness Guided Meditation
DESCRIPTION:Heartfulness Guided Meditation is a weekly\, drop-in program designed to help you Mental well-being. \n\nAll U-M students\, faculty\, and staff are welcome to participate in guided meditation practice with a trainer every Friday at noon over Zoom (details to join are provided below). No prior experience with meditation is required. \n\n*What will you learn?*\n\nThe guided meditation practice involves three simple steps: relaxation\, rejuvenation\, and meditation.\n\nRelaxation brings your body to a calm\, steady posture creating a stillness at the physical level\, and prepares the mind for meditation. We follow this with a rejuvenation method to detox the mind to let go of stress and complex emotions\, and will leave you feeling light and refreshed. Lastly\, learning to meditate by being mindful of your heart will connect you with yourself by listening to your heart’s voice. \n\n*Why Meditate?*\n\nWhile physical fitness keeps our bodies in shape\, meditation is an exercise for the mind and mental wellness. In addition to the measurable benefits mentally and physically\, many people benefit from an unquantifiable inner poise and harmony. \n\n*Please take Learn to Meditate session if you are new to the practice. These sessions are offered Monthly.* https://events.umich.edu/event/128708\n\n*Event Details*\n\nHeartfulness Guided Meditation \nFridays from 12-12:30 p.m. ET (except during university season days / holidays)\nJoin Via Zoom Meeting\nRegister to receive Passcode (see “Related links”\n\n\nThis wellness program is coordinated by ITS Teaching & Learning and provided at no cost by heartfulness.org.
UID:88544-21865090@events.umich.edu
URL:https://events.umich.edu/event/88544
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Well-being,Health & Wellness,Free
LOCATION:Off Campus Location
CONTACT:
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