Bioinformatics Training and Education Program

Multimodal Data Integration: From Biomarkers to Mechanisms

Distinguished Speakers Seminar Series

Multimodal Data Integration: From Biomarkers to Mechanisms

 When: May. 23rd, 2024 1:00 pm - 2:00 pm

Seminar Series Details:

Presented By:
Caroline Uhler, Ph.D. (MIT)
Online Webinar
Organized By:
Caroline Uhler, Ph.D. (MIT)

About Caroline Uhler, Ph.D. (MIT)

Full Professor, Dept. of Electrical Engineering and Computer Science and Institute for Data, Systems, and Society

Core Faculty and Director of the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard

About this Class

An exciting opportunity at the intersection of the biomedical sciences and machine learning stems from the growing availability of large-scale multi-modal data (imaging-based and sequencing-based, observational and perturbational, at the single-cell level, tissue-level, and organism-level). Traditional representation learning methods, although often highly successful in predictive tasks, do not generally elucidate underlying causal mechanisms. Dr. Uhler will present initial ideas towards building a statistical and computational framework for causal representation learning and its applications towards identifying novel disease biomarkers as well as inferring gene regulation in health and disease.

Alternative Meeting Information:
Meeting number:
2312 523 4308
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1-650-479-3207 Call-in number (US/Canada)
Access code: 2312 523 4308