Caroline Uhler
Andrew (1956) and Erna Viterbi Professor of Engineering, Department of Electrical Engineering and Computer Science; Director, Eric and Wendy Schmidt Center at Broad Institute
Caroline Uhler is the Andrew (1956) and Erna Viterbi Professor of Engineering and a professor in MIT’s Department of Electrical Engineering and Computer Science (EECS) and an investigator in the Institute for Data, Systems, and Society (IDSS). She directs the Eric and Wendy Schmidt Center at the Broad Institute, where she’s a core institute member and is a member of the Scientific Leadership Team. Her research focuses on machine learning and statistics, with applications to single-cell biology, in particular on graphical models and causal inference, neural networks for representation learning and generative modeling, and their applications to studying gene regulatory networks based on a variety of single-cell data modalities.
Uhler is a SIAM Fellow, a Fellow of the IMS, a Sloan Research Fellow, and an elected member of the International Statistical Institute. In addition, she has received multiple awards including an NIH New Innovator Award, a Simons Investigator Award, and an NSF Career Award. She earned a BS in biology, an MS in mathematics, and an MEd from the University of Zurich, and a PhD in statistics from the University of California, Berkeley.
Selected Publications
- Zhang, J., Greenewald, K., Squires, C., Srivastava, A., Shanmugam K., Uhler, C. (2023). Identifiability Guarantees for Causal Disentanglement from Soft Interventions. Conference on Neural Information Processing Systems (NeurIPS).
- Radhakrishnan, A., Friedman, S. F., Khurshid, S., Ng, K., Batra, P., Lubitz, S. A., Philippakis, A. A., Uhler, C. (2023). Cross-modal Autoencoder Framework Learns Holistic Representations of Cardiovascular State. Nature Communications.
- Radhakrishnan, A., Belkin, M., Uhler, C. (2023). Wide and Deep Neural Networks Achieve Consistency for Classification. Proceedings of the National Academy of Sciences (PNAS).
Media
- February 16, 2021: MIT News, A machine-learning approach to finding treatment options for Covid-19.
- January 31, 2020: LIDS News, LIDS faculty member Caroline Uhler and LIDS Affiliate Member Elchanan Mossel receive Simons Investigator Awards.
- May 25,2018: IDSS News, Caroline Uhler awarded J-WAFS Seed Grant for research on climate impacts on agriculture.