Prof. Caroline Uhler

Professor in Ocean Utilization
Professor of Electrical Engineering and Computer Science
Co-Director, Eric and Weddy Schmidt Center

Primary DLC

Department of Electrical Engineering and Computer Science

MIT Room: 32-D634

Areas of Interest and Expertise

Mathematical Statistics (Algebraic Statistics, Multivariate Analysis, Graphical Models, Causal Inference, Maximum Likelihood Estimation)
Convex Optimization (Semidefinite Programming, Sparsity-Inducing Norms)
Applied Algebraic Geometry
Mathematical Biology

Research Summary

Caroline Uhler, in the Department of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society, focuses her research at the intersection of machine learning, statistics, and genomics. In particular, she is interested in obtaining a better understanding of genome regulation by developing machine learning methods that can integrate different data modalities, including interventional data, and bridge the gap from predictive to causal modeling.

Recent Work

  • Video

    04.10-11.24-HST-Uhler

    April 10, 2024Conference Video Duration: 37:53

    Machine Learning and the Biomedical Sciences - A Two-Way Street

    3.25.21-Health-Roundtable

    March 25, 2021Conference Video Duration: 89:1
    Manolis Kellis
    Professor, MIT Computer Science and Artificial Intelligence Lab
    Institute Member, Broad Institute of MIT and Harvard
    Ernest Fraenkel
    Professor, Biological Engineering
    Associate Member, Broad InstituteJuan Caicedo
    Schmidt Fellow, Broad Institute
    Caroline Uhler
    Associate Professor, Electrical Engineering and Computer Science and Institute for Data, Systems and Society
    Dipen Sangurdekar
    Head of Oncology Translational Genomics team, Takeda