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X-WR-CALNAME:Workshops @ UCLA
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DTSTART;TZID=America/Los_Angeles:20260731T160000
DTEND;TZID=America/Los_Angeles:20260731T170000
DTSTAMP:20260803T205249
CREATED:20260724T172152Z
LAST-MODIFIED:20260731T195144Z
UID:10003791-1785513600-1785517200@workshops.ucla.edu
SUMMARY:Aaron Meyer\, Associate Professor\, Department of Bioengineering – UCLA
DESCRIPTION:“Building an Integrative View of Immunity with Data Tensors” \nHigh-throughput technologies now allow us to characterize immune responses with comprehensive scale and detail. While profiling cells across parameters like time\, perturbations\, and genetics yields rich data\, these multidimensional datasets challenge conventional analysis. Standard workflows typically flatten data into two-dimensional matrices\, sacrificing the essential context provided by the experimental structure. Instead\, I will show how tensor decompositions can preserve the structure of multidimensional studies. Choosing the right mathematical representation allows us to derive robust insights—from utilizing in vitro characterization to optimize engineered cytokines\, to identifying single-cell features that define autoimmunity. Furthermore\, these approaches enable integrative analysis that links cellular states to alterations at the tissue\, organ\, and individual scales.
URL:https://workshops.ucla.edu/workshop/aaron-meyer-associate-professor-department-of-bioengineering-ucla/
LOCATION:Boyer Hall 159
CATEGORIES:QCBio Seminar Series,Research Seminars
ATTACH;FMTTYPE=image/png:https://workshops.ucla.edu/wp-content/uploads/2026/07/Meyer-8.19.53-AM-XAGxwv.png
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260724T160000
DTEND;TZID=America/Los_Angeles:20260724T170000
DTSTAMP:20260803T205249
CREATED:20260721T172201Z
LAST-MODIFIED:20260724T193617Z
UID:10003790-1784908800-1784912400@workshops.ucla.edu
SUMMARY:Amy Goldberg\, Associate Professor\, Human Genetics\, UCLA
DESCRIPTION:TITLE: “Evolutionary perspectives on malaria” \nPathogen genomics increasingly guides public health decisions\, yet organisms with complex life cycles can produce genealogies that violate assumptions of standard population genetic methods. Similarly\, despite decades of population-genetic methods to infer population or adaptive histories in humans\, allele frequencies are often modeled to be roughly constant on short timescales relevant for public health. Here I discuss computational methods to leverage the growing amounts of genomic data from both host and pathogen perspectives. In particular\, I consider genomic evolution on ecologically and epidemiologically relevant timescales\, with implications for public health and basic biology.
URL:https://workshops.ucla.edu/workshop/amy-goldberg-associate-professor-human-genetics-ucla/
LOCATION:Boyer Hall 159
CATEGORIES:QCBio Seminar Series,Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://workshops.ucla.edu/wp-content/uploads/2026/07/PhotoHandler-ZT2lTs.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260717T160000
DTEND;TZID=America/Los_Angeles:20260717T170000
DTSTAMP:20260803T205249
CREATED:20260713T170243Z
LAST-MODIFIED:20260717T193215Z
UID:10003789-1784304000-1784307600@workshops.ucla.edu
SUMMARY:Neil Lin Assistant Professor\,  Mechanical and Aerospace Engineering  –  UCL
DESCRIPTION:“Unraveling Signaling Pathway Crosstalk Using LLMs” \nLiving cells do not process information through isolated\, linear pathways. Instead\, they rely on an intricate network of signaling crosstalk to make critical fate decisions. Deciphering this hidden cellular conversation remains one of the greatest challenges in targeted oncology and regenerative medicine. Yet traditional mechanistic models struggle to capture its complexity\, while the scale of modern single-cell datasets exceeds what can be analyzed manually. My lab asks a simple question: Can large language models\, designed to understand human language\, be repurposed to decode the language of cellular signaling? In this talk\, I will describe our efforts to develop LLMs as specialized\, locally deployed biological reasoning engines. By grounding these models in both the biomedical literature and high-dimensional single-cell data\, we show how they can identify key regulatory nodes where signaling pathways converge. Finally\, I will discuss how integrating biological knowledge with empirical data enables prediction of nonlinear cellular responses\, providing a scalable\, mechanistically informed framework for discovering novel therapeutic combinations.
URL:https://workshops.ucla.edu/workshop/neil-lin-assistant-professor-mechanical-and-aerospace-engineering-ucl/
LOCATION:Boyer Hall 159
CATEGORIES:QCBio Seminar Series,Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://workshops.ucla.edu/wp-content/uploads/2026/07/neil_lin_headshot.jpg-copy-wIXzh5.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260601T120000
DTEND;TZID=America/Los_Angeles:20260601T130000
DTSTAMP:20260803T205249
CREATED:20260401T134715Z
LAST-MODIFIED:20260528T181705Z
UID:10003779-1780315200-1780318800@workshops.ucla.edu
SUMMARY:Bianca Dumitrascu (Columbia University) – Frontiers in Computational Biosciences Seminar Series
DESCRIPTION:Bianca Dumitrascu\, Assistant Professor\, Columbia University \nSpatial technologies for deconvolving disease phenotypes \nWatch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
URL:https://workshops.ucla.edu/workshop/bianca-dumitrascu-columbia-university-frontiers-in-computational-biosciences-seminar-series/
LOCATION:Boyer Hall 159
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://workshops.ucla.edu/wp-content/uploads/2026/04/Dumitrascu-wFMuWe.png
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260518T120000
DTEND;TZID=America/Los_Angeles:20260518T130000
DTSTAMP:20260803T205249
CREATED:20260401T134714Z
LAST-MODIFIED:20260518T174624Z
UID:10003778-1779105600-1779109200@workshops.ucla.edu
SUMMARY:Dmitri Petrov (Stanford University) – Frontiers in Computational Biosciences Seminar Series
DESCRIPTION:Dmitri Petrov\, Professor\, Stanford University \nReal and Not Just Hopeful Monsters: Evolution by Very Large Jumps \nWatch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
URL:https://workshops.ucla.edu/workshop/dmitri-petrov-stanford-university-frontiers-in-computational-biosciences-seminar-series/
LOCATION:Boyer Hall 159
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://workshops.ucla.edu/wp-content/uploads/2026/04/Petrov-ujGcDA.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260511T120000
DTEND;TZID=America/Los_Angeles:20260511T130000
DTSTAMP:20260803T205249
CREATED:20260401T134712Z
LAST-MODIFIED:20260511T170205Z
UID:10003777-1778500800-1778504400@workshops.ucla.edu
SUMMARY:Daniella Meeker (Yale University) – Frontiers in Computational Biosciences Seminar Series
DESCRIPTION:Daniella Meeker\, Associate Professor of Biomedical Informatics & Data Science\, Chief Research Information Officer\, Yale New Haven Health System \n  \nWatch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
URL:https://workshops.ucla.edu/workshop/daniella-meeker-yale-university-frontiers-in-computational-biosciences-seminar-series/
LOCATION:Boyer Hall 159
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://workshops.ucla.edu/wp-content/uploads/2026/04/Meeker-scaled-iMsnxN.jpg
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