I am a PhD student in the School of Electrical Engineering and Computer Science at Washington State University.

My general research interests are in artificial intelligence (AI) and machine learning (ML) with a focus on probabilistic modeling and optimization to support decision-making under uncertainty in structured domains. The overarching goal of my research is to develop principled AI and ML solutions to accelerate engineering design and scientific discovery towards high-impact sustainability applications.

My current research is motivated from real-world applications such as computing systems design and resource management; design of nanoporous materials for gas storage (e.g., hydrogen powered cars), gas separation (e.g., capturing carbon dioxide), and gas sensing (e.g., detecting toxic compounds and explosives); and design of microbiomes for human health and agriculture applications. Specific topics include:

  • Learning probabilistic models over structured data
  • Methods to combine domain knowledge and experimental data to create rich models
  • Knowledge representation and learning for tractable reasoning
  • Sequential decision-making under uncertainty for data collection

Before grad school, I got my Bachelors in Technology (B.Tech.) degree in Mathematics and Computing from Delhi Technological University, New Delhi.

I am very fortunate to work with my advisor Dr. Jana Doppa.


  • PhD in Computer Science, 2018-Present

    Washington State University

  • MS in Computer Science, 2018-2020

    Washington State University

  • B.Tech. in Mathematics & Computing, 2013-2017

    Delhi Technological University