About me

I am an Assistant Professor in the Department of Computer Science and Engineering at University of Minnesota, Twin Cities.

I got my PhD in Computer Science at Washington State University where I was very fortunate to be advised by Dr. Jana Doppa. I spent three wonderful summers as research intern at Meta and Google. I got my Bachelors in Technology degree in Mathematics and Computing from Delhi Technological University.

My general research interests are in the areas of artificial intelligence (AI) and machine learning (ML) where I focus on advancing foundations of AI/ML to solve challenging real-world problems. The overarching theme of my research program is AI to Accelerate Scientific Discovery and Engineering Design. Specific topics include:

• Sequential decision-making under uncertainty (Bayesian optimization and Reinforcement learning) in a data-efficient manner.

• Probabilistic modeling over combinatorial structured data in small supervised data settings.

• Applications: accelerate the discovery of nanoporous materials for sustainability applications (e.g., carbon capture and storage/separation of gases); accelerate the design of effective, safe, and low-cost drugs/vaccines; and design of high-performance and low-power hardware to overcome Moore’s law.