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Tamara Broderick

Assistant Professor, MIT Electrical Engineering and Computer Science Department

Published onApr 10, 2020
Tamara Broderick

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Tutorial Session: Variational Bayes and Beyond: Bayesian Inference for Big Data

Tamara Broderick is an Assistant Professor in the MIT Electrical Engineering and Computer Science Department. She is a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), the MIT Statistics and Data Science Center, and the Institute for Data, Systems, and Society (IDSS). She holds a PhD from UC Berkeley Statistics, an MS in Computer Science from UC Berkeley, an MPhil in Physics and a Master’s in Mathematics from U Cambridge, and an AB in Mathematics from Princeton. She has been awarded an NSF CAREER Award, a Sloan Research Fellowship, an Army Research Office Young Investigator Program award, Google Faculty Research Awards, the ISBA Lifetime Members Junior Researcher Award, the Savage and Evelyn Fix dissertation awards, the Berkeley Fellowship, an NSF Graduate Research Fellowship, and a Marshall Scholarship. Her research is in scalable, theoretically sound methods for uncertainty and robustness quantification – with a focus on Bayesian approaches.

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