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        "event_title":"Weekly DCMB \/ CCMB Seminar featuring Xiaojie Qiu (incoming Assist. Prof. at Stanford)",
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        "combined_title":"Weekly DCMB \/ CCMB Seminar featuring Xiaojie Qiu (incoming Assist. Prof. at Stanford): Towards foundational predictive spatiotemporal modeling of single cells",
        "event_subtitle":"Towards foundational predictive spatiotemporal modeling of single cells",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"Abstract:\r\n\r\nSingle-cell RNA-seq, together with RNA velocity and metabolic labeling, reveals cellular states and transitions at unprecedented resolution. Fully exploiting these data, however, requires kinetic models capable of unveiling governing regulatory functions. In the first part of my talk, I will introduce an analytical framework dynamo (https:\/\/github.com\/aristoteleo\/dynamo-release) and highlight dynamo's power to overcome fundamental limitations of conventional splicing-based RNA velocity analyses to enable accurate velocity estimations on a metabolically labeled human hematopoiesis scRNA-seq dataset. Furthermore, differential geometry analyses reveal mechanisms driving early megakaryocyte appearance and elucidate asymmetrical regulation within the PU.1-GATA1 circuit. Leveraging the least-action-path method, dynamo accurately predicts drivers of numerous hematopoietic transitions. Finally, in silico perturbations predict cell-fate diversions induced by gene perturbations. Dynamo, thus, represents an important step in advancing quantitative and predictive theories of cell-state transitions. Cells do not live in a vacuum, but in a milieu defined by cell\u2013cell communication that can be quantified via recent advances in spatial transcriptomics. In my second section of my talk, I will talk about Spateo, a general framework for quantitative spatiotemporal modeling of single-cell resolution spatial transcriptomics. Spateo develops a comprehensive framework of cell-cell interaction to reveal spatial effects of niche factors and cell type-specific ligand-receptor interactions. Furthermore, Spateo reconstructs 3D models of whole embryos, and performs 3D morphometric analyses. Lastly, Spateo introduces the concept of \"morphometric vector field\" of cell migrations and integrates spatial differential geometry to unveil regulatory programs underlying various organogenesis patterns of Drosophila and mouse. Thus, Spateo enables the study of the ecology of organs at a molecular level in 3D space, beyond isolated single cells. Moving forward, my lab will try to integrate advances in machine learning and advances in genomics to learn spatially and temporally resolved models of cell fate transition at whole mouse embryo level in 3D space.\r\n\r\nhttps:\/\/umich-health.zoom.us\/j\/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09",
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        "tags":["Human Genetics","Talk","Structural Biology","seminar","Science","Research","Public Health","Precision Health","Physics","Michigan Engineering","Medicine","Mathematics","Life Science","Lecture","Learning Health Systems","Information and Technology","Graduate Students","Free","Engineering","Electrical Engineering and Computer Science","Education","Discussion","Chemistry","Cardiovascular","Biosciences","Biomedical Engineering","Biology","Basic Science"],
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        "datetime_modified":"20231127T112202",
        "datetime_start":"20231129T160000",
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        "has_end_time":1,
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        "time_zone":"America\/Detroit",
        "event_title":"Who Are the Hand-to-Mouth?",
        "occurrence_title":"",
        "combined_title":"Who Are the Hand-to-Mouth?: Corina Boar, New York University",
        "event_subtitle":"Corina Boar, New York University",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Many households hold little wealth. In standard precautionary savings models these households should not only display higher marginal propensities to consume (MPCs), but also higher future consumption growth. In contrast, we see from the PSID that such \u201chand-to-mouth\u201d households do not display higher growth in spending. They also exhibit greater volatility of spending and adjust their spending to a greater extent through the number of categories consumed. Consistent with a role for preference heterogeneity, the panel data show that it is persistent differences across households, not current assets, that predict low consumption growth and other spending differences for the hand-to-mouth households. To identify the extent of preference heterogeneity, we consider the model of Kaplan and Violante (2014) with both liquid and illiquid assets, but allow heterogeneity in preferences. To match the data, many poor hand-to-mouth must be relatively impatient and have a high inter-temporal elasticity of substitution (IES). The model shows that preferences predominantly explain the higher MPCs for low-asset households. Preference heterogeneity notably increases the spending impact of fiscal transfers, but only if targeted, while reducing that from interest rate cuts.\r\n\r\n\r\nThis talk is presented by the Macroeconomics Seminar, sponsored by the Department of Economics with generous gifts given through the Michael Beauregard Fund for Macroeconomics and the Economics Strategic Fund.",
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        "event_title":"Voice Department Recital",
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        "description":"Students from the Department of Voice perform a recital.",
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        "tags":["North Campus","Music","Free"],
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