Bioinformatics Seminar
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Discovering New Biochemistry from Biological Conflicts Wednesday, September 24, 2025 - 11:30am to 1:00pm Biological replicators are locked in deeply intertwined genetic conflicts with each other. |
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Evolutionary Design from Molecular to Genome Scale Wednesday, September 10, 2025 - 11:30am to 1:00pm All of life encodes information with DNA. |
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Discovering Safe, Effective Drugs via Machine Learning and Simulation of 3D Structure Wednesday, September 17, 2025 - 11:30am to 1:00pm Recent years have seen dramatic advances in both experimental determination and computational prediction of macromolecular structures. |
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Deep generative models for protein engineering Wednesday, October 16, 2024 - 11:30am to 1:00pm Deep generative models are increasingly powerful tools for the in silico design of novel proteins. |
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Inferring and Characterizing Cellular and Neural Dynamics with Geometric and Topological Deep Learning Wednesday, October 2, 2024 - 11:30am to 1:00pm In 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. |
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Understanding the genetic basis of complex traits from Biobank-scale data: Statistical and Computational challenges Wednesday, October 9, 2024 - 11:30am to 1:00pm |
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Does evolution have an inbuilt bias towards highly compressible phenotypes? Wednesday, September 25, 2024 - 11:30am to 1:00pm |
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Pan-genomic advances for fighting reference bias Wednesday, September 18, 2024 - 11:30am to 1:00pm |
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Multimodal Protein Foundation Models Wednesday, September 11, 2024 - 11:30am to 1:00pm How can multimodality improve representations of proteins? Foundation models have shown promise in building powerful representations for many domains. |
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Signatures of the great human expansion Wednesday, May 15, 2013 - 11:30am to 1:00pm Since the emergence of modern humans in Africa, human population histories have been complex and nonstationary. Human populations have, for example, grown rapidly, split apart, migrated over large distances, experienced isolation, and mixed during colonization events. |
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