About me

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

Prospective Students: Please see here more details.

I did 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 with high societal impact. The overarching theme of my research program is AI to Accelerate Scientific Discovery and Engineering Design as shown above. I closely collaborate with domain experts to solve high-impact science and engineering applications. Specific topics include:

• Probabilistic modeling (Gaussian processes, deep models, and their combination) over combinatorial structured data in small supervised data settings.

• Combining domain knowledge and data to create structured models with uncertainty quantification.

• Sequential decision-making under uncertainty for data acquisition to achieve target goals (e.g., design optimization, discovery, predictive models, decision policies) in a resource-efficient manner.

• 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.