Research
I work at the intersection of optimization and machine learning.
Hover a region — or tap on mobile — to light up the papers below, and click to pin it.
ML × OR
OPTAgent: LLM Agents for Solver Ecosystems
Machine LearningPredictability-Aware SFT for Diffusion Language Models
Machine LearningAdversarial Multi-objective Bandits
OptimizationOptimal Covering Arrays & Combinatorial Testing
OptimizationEnd-to-End Supply Chain Planning in the Paper Industry
ML × ORDeep Learning for Real-Time Order Fulfillment
ML × ORProxy Benders Decomposition
Machine LearningStochastic Multi-objective Bandits
Machine LearningSkillsBench: Benchmarking LLM Agent Skills
OptimizationPrecedence-Constrained Quadratic Knapsack Problem
Earlier direction: Functional Analysis & Operator Theory
Before moving into optimization and machine learning, I worked in functional analysis and operator theory — on numerical ranges and Crouzeix’s conjecture.