Phalguni Nanda

Hello! Welcome to my webpage. I am a PhD student in the Edwardson School of Industrial Engineering, Purdue University, West Lafayette, where I am advised by Prof. Zaiwei Chen. My research develops rigorous non-asymptotic analyses that characterize sample complexity and learning dynamics in reinforcement learning, with the goal of designing algorithms that are practically effective and provably efficient in high-dimensional stochastic settings for sequential decision making. I also hold a MS in Mathematical Statistics from Purdue University. My CV can be found here.

Prior to Purdue, I was a Project Assistant in the Department of Mathematics of Birla Institute of Technology and Science Pilani - Hyderabad Campus, under the supervision of Prof. Gujji Murali Mohan Reddy. Earlier, I received my Bachelors and Masters degrees in Mathematics (through the Five-Year Integrated M.Sc. programme) from the National Institute of Technology Rourkela, India. During this period, I completed a summer research internship at the Applied Statistics Unit of the Indian Statistical Institute, Kolkata, working with Prof. Prajamitra Bhuyan and Prof. Anup Dewanji.