Caroline Uhler, Schmidt Center director, named IMS Fellow

The Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard is pleased to share that Center Director Caroline Uhler has been elected Fellow of the Institute of Mathematical Statistics (IMS). Uhler received the award for interdisciplinary excellence and for merging mathematical statistics and computational biology in innovative and impactful ways. 

Uhler is a core institute member of the Broad Institute and a professor in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Data, Systems, and Society (IDSS) at MIT. She is also a SIAM Fellow, a Sloan Research Fellow, and an elected member of the International Statistical Institute. 

Uhler’s research lies at the intersection of machine learning, statistics, and genomics, with a particular focus on causal inference, representation learning, and gene regulation. Her use of probabilistic graphical models and development of scalable algorithms with healthcare applications has enabled her research group to gain insights into causal relationships hidden within massive amounts of data, such as those generated during gene knockout or knockdown experiments.

For almost 90 years, the title of IMS Fellow has represented a prestigious honor. Evaluated by a committee of peers, each Fellow has exhibited exceptional mastery in statistical or probabilistic research and/or has showcased remarkable leadership that has left a lasting impact on the field.

‍

‍

Established in 1935, the IMS is a member organization that fosters the development and dissemination of the theory and applications of statistics and probability. The IMS has over 4,700 active members throughout the world, with approximately 10% of the current IMS members earning the fellowship status. The announcement of the 2024 class of IMS Fellows can be viewed here.

Uhler will be honored among the new IMS Fellows at the IMS Presidential Address and Awards Ceremony at the Bernoulli-IMS 11th World Congress in Probability and Statistics on August 12-16, 2024 in Bochum, Germany.