Anish Agarwal

Anish’s research interests are in designing and analyzing methods for causal machine learning, and applying it to critical problems in social and engineering systems. He received his PhD in EECS from MIT, where he was advised by Alberto Abadie, Munther Dahleh, and Devavrat Shah. For his dissertation, he received the INFORMS George B. Dantzig best thesis award (2nd place), and the ACM SIGMETRICS outstanding thesis award (2nd place). Prior to coming to Columbia University, he was a postdoctoral scientist at Amazon, Core AI, and was also a fellow at the Simons Institute, UC Berkeley.  He has served as a technical consultant to TauRx Therapeutics and Uber Technologies on questions related to experiment design and causal inference. Prior to the PhD, he was a management consultant at Boston Consulting Group.