Aryan Deshwal
Scholar

Aryan Deshwal

Google Scholar ID: wNEYBrAAAAAJ
University of Minnesota
Machine LearningArtificial IntelligenceBayesian OptimizationReinforcement Learning
Citations & Impact
All-time
Citations
1,149
 
H-index
18
 
i10-index
25
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Research Experience
  • Spent three summers as a research intern at Meta and Google.
Education
  • PhD in Computer Science from Washington State University, advised by Dr. Jana Doppa; Bachelors in Technology degree in Mathematics and Computing from Delhi Technological University.
Background
  • Research interests lie in the areas of artificial intelligence (AI) and machine learning (ML), focusing on advancing the foundations of AI/ML to solve challenging real-world problems. Specific topics include sequential decision-making under uncertainty (Bayesian optimization and reinforcement learning) in a data-efficient manner, and probabilistic modeling over combinatorial structured data in small supervised data settings. Applications include accelerating the discovery of nanoporous materials for sustainability applications (e.g., carbon capture and storage/separation of gases), accelerating the design of effective, safe, and low-cost drugs/vaccines, and designing high-performance and low-power hardware to overcome Moore’s law.