Research unites machine learning and optimization to build decision-aware, constraint-satisfying models. Focus on constrained generative modeling, decision-focused learning under uncertainty (PDE- and bilevel-constrained), and privacy/fairness auditing of LLM agents; applications span energy, robotics, and bio/material design.