Awarded NSF-RI grant for 'Generative Models for Scientific Exploration'
Recipient of Google Faculty Research Award, Amazon Research Award, Cohere for AI Research Grant, NVIDIA Academic Grant, and support from LaCross Institute
Multiple papers accepted at NeurIPS 2025 (including a Spotlight), on physics- and logic-constrained diffusion models
Paper 'Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming' accepted at CDC-2025
Published open-access book 'Differential Privacy in Artificial Intelligence: From Theory to Practice', covering theory, algorithms, applications, implementation, and legal/ethical frameworks
Released preprints on discrete-guided diffusion for multi-robot planning, GP-based stability-constrained ACOPF, and an SoK on data minimization in machine learning
Mentored student Michael Cardei to win NSF GRFP Scholarship Award
Background
Assistant Professor of Computer Science at the University of Virginia
Leads the Responsible AI for Science and Engineering (RAISE) group
Research focuses on two key themes: Foundation Models for Science and Engineering, and Responsible AI (emphasizing privacy, safety, and fairness)
Develops foundations to integrate predictive and generative models with neuro-symbolic reasoning for complex scientific and engineering problems
Research supported by the National Science Foundation, Google Faculty Research Award, Amazon Research Award, Cohere For AI Research Grant, NVIDIA Academic Grant, LaCross Institute, and the University of Virginia