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DTSTART;TZID=America/New_York:20250318T153000
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CREATED:20250313T165613Z
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UID:13596-1742311800-1742315400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Probabilistic Experimental Design for Petascale DNA Synthesis"
DESCRIPTION:Generative modeling offers a powerful paradigm for designing novel functional DNA\, RNA and protein sequences. In this talk\, I introduce probabilistic experimental design methods to efficiently manufacture samples from generative models of biomolecules in the real world. These algorithms merge computational techniques for approximate sampling with physical randomness. I also develop tools to rigorously evaluate the quality of manufactured samples\, including nonparametric\ntwo-sample tests with consistency guarantees and scalable algorithms. I demonstrate synthesizing ~10^16 samples from a generative model of human antibodies\, at a sample quality comparable to state-of-the-art protein language models\, and a cost of ~$10^3. The library yields candidate therapeutics for “undruggable” cancer targets. Using previous methods\, manufacturing a DNA library of the same size and quality would cost roughly ~$10^15.
URL:https://seasevents.nmsdev7.com/event/13596/
LOCATION:Amy Gutmann Hall\, Room 414\, 3333 Chestnut Street\, Philadelphia\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
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