Sanghamitra Dutta

Sanghamitra Dutta is an assistant professor in the Department of Electrical and Computer Engineering at the University of Maryland College Park since Fall 2022. She is also affiliated with the Department of Computer Science, the Center for Machine Learning (CML) at UMIACS, and the Values-Centered Artificial Intelligence (VCAI). Prior to joining UMD, she was a senior research associate at JPMorgan Chase AI Research New York in the Explainable AI Centre of Excellence (XAI CoE). She received her Ph.D. and Master's from Carnegie Mellon University and B. Tech. from IIT Kharagpur, all in Electrical and Computer Engineering. 

Her research interests broadly revolve around reliable and trustworthy machine learning. She is particularly interested in addressing the challenges concerning fairness, explainability, privacy, and reliability, by bringing in a novel foundational perspective deep-rooted in information theory, statistics, causality, and optimization. Her research has featured in New Scientist and Montreal AI Ethics Brief, and also been adopted as part of the fair-lending model review at JPMorgan.

In her prior work, she has also examined problems in reliable computing, proposing novel algorithmic solutions for large-scale distributed machine learning, using tools from coding theory (an emerging area called “coded computing”). Her results on coded computing has received substantial attention from across disciplines.

She is a recipient of the 2024 NSF CAREER Award, 2023 Northrop Grumman Seed Grant, 2023 JPMorgan Faculty Award, 2022 Simons Institute Fellowship for Causality, 2021 AG Milnes Outstanding Thesis Award from CMU and 2019 K&L Gates Presidential Fellowship in Ethics and Computational Technologies. She has also pursued research internships at IBM Research and Dataminr.