I earned my PhD in Computer Science from Washington University in St. Louis (WUSTL) in May 2017 for my dissertation on incentivized collective forecasting (in particular, prediction markets), advised by Sanmay Das.
From June 2017 to January 2020, I was a post-doctoral research fellow at National University of Singapore (NUS) where I worked on fairness and efficiency issues in resource allocation problems, supervised by Yair Zick.
I publish and present regularly at leading international venues on artificial intelligence and computational economics/finance. Recognitions of my contributions by the research community include the Best Paper Award at ICAIF 2024 and a spotlight presentation at NeurIPS 2015.
I take an active interest in offering research experience to motivated undergraduate students. At UMich, I have enjoyed — and am still enjoying — co-mentoring brilliant young researchers in the Strategic Reasoning Group and also in collaboration with Dr. Sindhu Kutty (e.g., under the SURE, UROP, and ExploreCSR programs).
At University of Michigan, I have taught multiple iterations of the graduate course on artificial intelligence foundations. I taught a course on social network analysis in 2015 during my PhD work at WUSTL, for which I received the Department Chair Award for Outstanding Teaching in 2016. I also obtained a WU-CIRTL Practitioner Level Recognition from the Teaching Center, WUSTL, in the same year.
I am a native of Kolkata, India. I received my Bachelor of Electronics & Telecommunication Engineering (Hons.) degree in 2009 from Jadavpur University, and my primary and secondary education from South Point School (1991-1998) and South Point High School (1998-2005) in the same city. I was also involved in a few research projects as an undergraduate student; in particular, in Summer 2007, I interned at the Applied Statistics Unit, Indian Statistical Institute, Kolkata, under the mentorship of Prof. Pabitra Pal Choudhury.