BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Caroline Uhler (MIT) DTSTART:20200918T150500Z DTEND:20200918T160500Z DTSTAMP:20260404T131146Z UID:sss/5 DESCRIPTION:Title: Causal Inference and Overparameterized Autoencoders in the Light of Dru g Repurposing for SARS-CoV-2\nby Caroline Uhler (MIT) as part of Stoch astics and Statistics Seminar Series\n\n\nAbstract\nMassive data collectio n holds the promise of a better understanding of complex phenomena and ult imately\, of better decisions. An exciting opportunity in this regard stem s from the growing availability of perturbation / intervention data (drugs \, knockouts\, overexpression\, etc.) in biology. In order to obtain mecha nistic insights from such data\, a major challenge is the development of a framework that integrates observational and interventional data and allow s predicting the effect of yet unseen interventions or transporting the ef fect of interventions observed in one context to another. I will present a framework for causal inference based on such data and particularly highli ght the role of overparameterized autoencoders. We end by demonstrating ho w these ideas can be applied for drug repurposing in the current SARS-CoV- 2 crisis.\n LOCATION:https://stable.researchseminars.org/talk/sss/5/ END:VEVENT END:VCALENDAR