Tamara Broderick

Tamara Broderick is an Associate Professor with tenure at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science. She holds affiliations with the Laboratory for Information and Decision Systems (LIDS), Statistics and Data Science Center, and Institute for Data, Systems, and Society (IDSS). Her research focuses on developing methods for quantifying uncertainty and robustness in data analysis.

Education:

• Ph.D. in Statistics, UC Berkeley (2014)
• M.S. in Computer Science, UC Berkeley (2013)
• M.Phil in Physics, University of Cambridge (2009)
• Master of Advanced Study (Part III Mathematical Tripos), University of Cambridge (2008)
• A.B. in Mathematics, Princeton University (2007)

Her research develops computationally efficient and statistically rigorous methods for uncertainty quantification in modern machine learning pipelines, with applications across scientific domains requiring robust decision-making under uncertainty.

Awards & Honors:

• Presidential Early Career Award (PECASE, 2025)
• IMS Fellow (2024)
• Sloan Research Fellowship (2018)
• NSF CAREER Award (2018)
• Savage Award for best Bayesian dissertation (2015)
• Marshall Scholarship (2007)

Advises numerous PhD students and postdoctoral researchers in statistical machine learning. Leads research funded by ONR, NSF, ARO, Google, and Amazon. Develops assistive technologies including the Nomon keyboard interface for single-switch communication.