I am a postdoctoral researcher in the Department of Statistics and Data Science at Carnegie Mellon University, where I am mentored by Aaditya Ramdas. Before this, I was a Herbert A. Johnson Postdoctoral Fellow in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, where I was mentored by Siva Theja Maguluri.  

I completed my PhD from the School of Technology and Computer Science at the Tata Institute of Fundamental Research, Mumbai, under the guidance of Sandeep Juneja. My PhD was partly supported by the Google PhD Fellowship (Machine Learning).  

Before joining TIFR, I worked in quantitative finance industry for a couple of years. I did my bachelor's and master's in Mathematics and Computing at Indian Institute of Technology, Delhi. 

My research primarily centers around learning theory, with a particular emphasis on sequential decision-making in uncertain environments. I have extensively explored various problems within the multi-armed bandit framework. I have also been looking at stochastic approximation techniques to advance theoretical understanding of reinforcement learning.