Joint ICTS-NCBS Biophysics Seminar
Title : Causal Representation Learning in the Context of Cell State Transitions
Speaker : Caroline Uhler (Massachusetts Institute of Technology)
Date : Monday, 2nd January 2023 Time : 15:00 PM (IST)
Abstract : The development of CRISPR-based assays and small molecule screens holds the promise of engineering precise cell state transitions to move cells from one cell type to another or from a diseased state to a healthy state. The main bottleneck is the huge space of possible perturbations/interventions, where even with the breathtaking technological advances in single- cell biology it will never be possible to experimentally perturb all combinations of thousands of genes or compounds. This important biological problem calls for a framework that can integrate data from different modalities to identify causal representations, predict the effect of unseen interventions, and identify the optimal interventions to induce precise cell state transition.
Traditional representation learning methods, although often highly successful in predictive tasks, do not generally elucidate causal relationships. In this talk, we will present initial ideas towards building a statistical and computational framework for causal representation learning and its application towards optimal intervention design.
Venue : Online & Emmy Noether Seminar Room (ICTS)
Zoom link: https://icts-res in.zoom.us/j/86044108510?pwd=RGVVSStHTUR3OE0rTlhZN25sa0liQT09
Meeting ID: 860 4410 8510 Passcode: 020223
International Centre for Theoretical Sciences - TIFR
Survey No. 151, Shivakote Village, Hesaraghatta Hobli, Bengaluru (North) - 560089 Tel: +91 80 4653 6000 Fax: +91 80 4653 6002
Email: [email protected] Website: www.icts.res.in
