Hello!
I am a PhD student in Electrical and Computer Engineering at Cornell University. I am part of the Cornell Statistical Signal Processing Lab and am fortunate to be advised by Dr. Vikram Krishnamurthy. I am broadly interested in inverse optimization problems. I contribute to the area of inverse reinforcement learning in machine learning, and revealed preference and rational inattention theory in micro- and information economics. I collaborate extensively with industry research groups like Air Force Research Lab and Lockheed Martin Advanced Technologies to apply my theoretical contributions to defence-related radar applications. Currently, I am pursuing my research interests in human-in-the-loop applications in autonomous vehicles and recommendation system design (do reach out if this sounds exciting to you!).
Before starting graduate school at Cornell, I received my Bachelors and Masters degrees from the Indian Institute of Technology (IIT), Kharagpur, where I was advised by Dr. Suvra Sekhar Das for my thesis. At IIT, I worked on wireless communication theory, created simulation testbeds for wireless communication protocols, and explored complex systems theory for crafting sufficient statistics for predicting the KPIs of wireless protocols. I spent the summer of 2016 at Trinity College, Dublin under the supervision of Dr. Nicola Marchetti analyzing complex systems models for wireless communications.
While at IIT, I was a part of the Kharagpur Robosoccer Group and represented IIT Kharagpur at the annual inter-IIT sports meet in Lawn Tennis.
Outside of research, I enjoy hiking, playing squash, and powerlifting. I represent Cornell University at inter-collegiate club squash meets. At Cornell, I serve as the president of the grad chapter of Salsa Palante, a Latin dance group.