Sanghamitra Dutta

Sanghamitra Dutta is an assistant professor in the Department of Electrical and Computer Engineering. She is also an affiliate faculty member in the University of Maryland Center for Machine Learning.

Dutta’s research interests broadly revolve around reliable and trustworthy machine learning. She is particularly interested in addressing the challenges concerning fairness, explainability and reliability by bringing in a novel foundational perspective, deep-rooted in information theory and causality.

Prior to coming to UMD, she was a senior research associate at JPMorgan Chase AI Research in the Explainable AI Centre of Excellence. Dutta’s research on algorithmic fairness has been adopted as part of the fair lending model review at JPMorgan.

She was also a recipient of the Simons Institute Fellowship for Causality Program in 2022.

Dutta was also awarded the 2019 K&L Gates Presidential Fellowship in Ethics and Computational Technologies. Additionally, her research on quantifying accuracy-fairness tradeoffs using information theory—in collaboration with IBM Research—was featured in New Scientist.

Dutta received her doctorate in electrical and computer engineering from Carnegie Mellon University in 2021. Her Ph.D. thesis received the 2021 AG Milnes Outstanding Thesis Award.

Go here to view Dutta’s academic publications on Google Scholar.