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 affiliated with the Department of Computer Science, the Center for Machine Learning (CML) at UMIACS, and the Values-Centered Artificial Intelligence (VCAI) initiative. Previously, she was a Senior Research Associate at JPMorgan Chase AI Research’s Explainable AI Centre of Excellence (XAI CoE) and earned her PhD and Master’s from Carnegie Mellon University (2021) and B.Tech. from IIT Kharagpur (2015), all in Electrical and Computer Engineering.

Her research focuses on trustworthy machine learning, addressing challenges in fairness, explainability, privacy, and reliability through foundational approaches rooted in information theory, causality, statistics, and optimization. Notable contributions include work on coded computing for distributed machine learning and fair-lending model reviews at JPMorgan. She has been featured in New Scientist and Montreal AI Ethics Brief.

Education

• PhD, Carnegie Mellon University, 2021
• Master’s, Carnegie Mellon University, 2021
• B.Tech. (Hons.), Indian Institute of Technology Kharagpur, 2015

Research Interests

• Trustworthy Machine Learning
• Explainability & Fairness
• Information Theory & Optimization
• Algorithmic Ethics

Awards

• 2024 NSF CAREER Award
• 2023 Northrop Grumman Faculty Research Award
• 2023 JPMorgan Faculty Research Award

Grants & Advising

• Recipient of NSF Career Award, JPMorgan, and Northrop Grumman grants
• Guiding UMD graduate students in machine learning and distributed systems

Labs & Teams

• Core member of the Values-Centered Artificial Intelligence (VCAI) group
• Collaborates with industry (e.g., JPMorgan) on AI ethics and reliability