Suvrit Sra, PhD

Chief AI Officer and co-founder Suvrit Sra, PhD is an expert on large-scale machine learning and optimization. He is an Associate Professor at MIT in the Department of Electrical Engineering and Computer Science and a core faculty member in the MIT Institute for Data, Systems, and Society.

Suvrit is the author of more than 75 peer-reviewed publications in machine learning, data mining, statistics, optimization, and mathematics, has been issued several patents and is the editor of Optimization for Machine Learning (MIT Press). He founded the OPT (Optimization for Machine Learning) series of workshops at the NIPS conference, which he has co-chaired since 2008.

In 2018, Suvrit received NSF TRIPODS+X funding for research at the intersection of healthcare and AI: “Learning with Expert-In-The-Loop for Multimodal Weakly Labeled Data and an Application to Massive Scale Medical Imaging.” In 2017, Suvrit was the recipient of an NSF BIGDATA grant to create a novel suite of models and algorithms for analyzing complex datasets, with a particular focus on three factors crucial for next-generation machine learning: interpretability, interactivity and automated learning.

Suvrit received his PhD in Computer Science from the University of Texas at Austin and has served as visiting faculty at UC Berkeley and Carnegie Mellon.