I develop methods that help non-technical decision-makers adapt large-scale optimization models and navigate their trade-offs.

PhD candidate in Machine Learning at Georgia Tech, advised by Pascal Van Hentenryck, and an Advanced Analytics Manager in industry, where I lead large-scale operations research.

• Fair resource substitution — 80% smaller models and 90% faster solves in our experiments, at the same optimum.
• Language-guided re-optimization — plain-language requests become auditable changes to deployed models.

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