Resume
Academic Achievements
- 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