|I am currently a FODSI postdoc joint with the groups of Prof. Susan Murphy in the Departments of Computer Science and Statistics at the Harvard University, and Prof.Devavrat Shah in the Laboratory of Information Decision and Systems (LIDS), Department of EECS at the Massachusetts Institute of Technology (MIT). My research interests include both the theoretical and applied aspects of statistical machine learning and data science. My recent works cover several topics in statistical learning, including random sampling, estimation, and inference. My current interests focus on the intersection of reinforcement learning and causal inference.
I received my Ph.D. in Summer 2021, from the Department of EECS at the University of California, Berkeley (UC Berkeley) where I was fortunate to be advised by Prof. Martin Wainwright and Prof. Bin Yu. My thesis committee members included Prof. David Aldous and Prof. Peter Bartlett. I was also fortunate to work with several collaborators, including Prof. Michael Jordan at UC Berkeley, Lester Mackey at Microsoft Research (MSR), and Prof. David Madigan at the Northeastern University (formerly at Columbia University). At Berkeley, I was associated with the Berkeley Laboratory for Information and System Sciences (BLISS), and the Berkeley Artificial Intelligence Research group (BAIR).
Before UC Berkeley, I graduated from the Indian Institute of Technology, Bombay (IIT Bombay), with a B. Tech. (Honors) in Electrical Engineering and Minors in Mathematics. At IIT Bombay, I was also fortunate to work with Prof. Vivek Borkar, Prof. Pradeep Nair, and Prof. Juzer Vasi.
At UC Berkeley, I was awarded the Outstanding Graduate Student Instructor Award in 2020. I also received the prestigious Berkeley Fellowship, the highest award for the incoming graduate students, in 2015. During my graduation at IIT Bombay, I was awarded the President of India Gold Medal, the highest honor to a graduating batch of students, the Institute Silver Medal for the highest GPA, and the Best B. Tech Project Award in the EE department.