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DTSTART;TZID=America/Los_Angeles:20260928T160000
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DTSTAMP:20260924T220634Z
CREATED:20260924T193841Z
LAST-MODIFIED:20260924T220634Z
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SUMMARY:QCBio Special Seminar: Dr. Yi Xing\, Francis West Lewis Chair\, The Children’s Hospital of Philadelphia\, Professor of Pathology and Laboratory Medicine\, University of Pennsylvania
DESCRIPTION:From Splicing Graph to RNA Medicine \nYi Xing\, Ph.D. is Associate Chief Scientific Officer for Omics\, Technology & Engineering at the Children’s Hospital of Philadelphia (CHOP)\, where he also serves as Executive Director of the Department of Biomedical and Health Informatics\, Founding Director of the Center for Computational and Genomic Medicine\, and the Francis West Lewis Chair in Computational and Genomic Medicine. He is also a Professor in the Department of Pathology and Laboratory Medicine at the University of Pennsylvania. Dr. Xing is internationally recognized for his research at the interface of computational biology\, genomics\, and precision medicine\, with a focus on transcriptomics\, RNA regulation\, rare diseases\, and cancer immunotherapy. His lab develops innovative computational and experimental technologies to decipher transcriptomic variation and translate RNAlevel insights into clinical applications.
URL:https://workshops.ucla.edu/workshop/qcbio-special-seminar-dr-yi-xing-francis-west-lewis-chair-the-childrens-hospital-of-philadelphia-professor-of-pathology-and-laboratory-medicine-university-of-pennsylvania/
LOCATION:Boyer Hall 130
CATEGORIES:QCBio Seminar Series,Research Seminars,Special Event
ATTACH;FMTTYPE=image/jpeg:https://workshops.ucla.edu/wp-content/uploads/2026/09/Xing_Yi_Business_Portrait-96dpi-jGdhl4.jpg
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DTSTART;TZID=America/Los_Angeles:20261130T120000
DTEND;TZID=America/Los_Angeles:20261130T130000
DTSTAMP:20260924T220637Z
CREATED:20260924T193845Z
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SUMMARY:QCBio Distinguished Speaker 2026 (part I): Dr. Qing Nie\, Department of Mathematics\, Department of Systems Biology\, University of California\, Irvine
DESCRIPTION:From Models to AI: Learning the Spatiotemporal Organization of Cells (Parts I) \nModern biology faces a fundamental observability barrier: we can measure a biological tissue deeply or watch it evolve\, but we cannot do both simultaneously. The complete spatiotemporal trajectory of a biological tissue—from cell states and cell–cell interactions to spatial reorganization and future function—is therefore intrinsically unobservable. Generative modeling and virtual analysis offer new opportunities to elucidate the spatiotemporal organization of cells. In this two-part talk\, I will first present modeling approaches from a top-down perspective\, using known information about cell–cell communication molecules\, cell-fate genes\, and their regulators to uncover principles and critical features of multicellular organization. To address the limitations of such models\, which depend strongly on prior knowledge of predetermined regulators\, I will then focus on a bottom-up perspective that learns the spatiotemporal organization of cells from the rich information contained in single-cell sequencing\, spatial transcriptomics\, and multi-omics data. These emerging data enable the screening and discovery of unprecedented molecular details underlying multicellular organization. By integrating mathematical models with computational inference\, we can uncover spatiotemporal properties of cells and their interactions that are otherwise difficult to observe. Finally\, I will present our initial efforts to combine AI with the computational tools and mathematical models we have developed toward learning and predicting the spatiotemporal organization of single cells.
URL:https://workshops.ucla.edu/workshop/qcbio-distinguished-speaker-2026-part-i-dr-qing-nie-department-of-mathematics-department-of-systems-biology-university-of-california-irvine/
LOCATION:Boyer Hall 159
CATEGORIES:QCBio Seminar Series,Research Seminars,Special Event
END:VEVENT
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DTSTART;TZID=America/Los_Angeles:20261201T130000
DTEND;TZID=America/Los_Angeles:20261201T140000
DTSTAMP:20260924T220637Z
CREATED:20260924T193845Z
LAST-MODIFIED:20260924T220637Z
UID:10003837-1796130000-1796133600@workshops.ucla.edu
SUMMARY:QCBio Distinguished Speaker 2026 (part II): Dr. Qing Nie\, Department of Mathematics\, Department of Systems Biology\, University of California\, Irvine
DESCRIPTION:From Models to AI: Learning the Spatiotemporal Organization of Cells (Part II) \nModern biology faces a fundamental observability barrier: we can measure a biological tissue deeply or watch it evolve\, but we cannot do both simultaneously. The complete spatiotemporal trajectory of a biological tissue—from cell states and cell–cell interactions to spatial reorganization and future function—is therefore intrinsically unobservable. Generative modeling and virtual analysis offer new opportunities to elucidate the spatiotemporal organization of cells. In this two-part talk\, I will first present modeling approaches from a top-down perspective\, using known information about cell–cell communication molecules\, cell-fate genes\, and their regulators to uncover principles and critical features of multicellular organization. To address the limitations of such models\, which depend strongly on prior knowledge of predetermined regulators\, I will then focus on a bottom-up perspective that learns the spatiotemporal organization of cells from the rich information contained in single-cell sequencing\, spatial transcriptomics\, and multi-omics data. These emerging data enable the screening and discovery of unprecedented molecular details underlying multicellular organization. By integrating mathematical models with computational inference\, we can uncover spatiotemporal properties of cells and their interactions that are otherwise difficult to observe. Finally\, I will present our initial efforts to combine AI with the computational tools and mathematical models we have developed toward learning and predicting the spatiotemporal organization of single cells.
URL:https://workshops.ucla.edu/workshop/qcbio-distinguished-speaker-2026-part-ii-dr-qing-nie-department-of-mathematics-department-of-systems-biology-university-of-california-irvine/
LOCATION:Boyer Hall 159
CATEGORIES:QCBio Seminar Series,Research Seminars,Special Event
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