About
 

Tamara Broderick

Associate Professor, Department of Electrical Engineering and Computer Science

Publications Research

Who they work with

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Machine Learning Statistics

Tamara Broderick is an associate professor in MIT’s Department of Electrical Engineering and Computer Science (EECS). She is also an investigator at the Institute for Data, Systems, and Society (IDSS) and the Computer Science and Artificial Intelligence Laboratory (CSAIL). She works in machine learning and statistics, and is focused on understanding how we can reliably quantify uncertainty and robustness in modern, complex data analysis procedures. She is particularly interested in Bayesian statistics and graphical models — with an emphasis on scalable, nonparametric, and unsupervised learning.

Broderick has received an NSF Career Award, a Sloan Research Fellowship, an Army Research Office Young Investigator Program award, and research awards from Google and Amazon. She earned a bachelor’s degree in mathematics from Princeton University, master’s degrees in mathematics and physics from the University of Cambridge, and an MS and PhD in computer science from the University of California, Berkeley.

Selected Publications

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