Background in operations research, applied mathematics, and statistics. I build scalable models for complex, high-dimensional problems, including optimizing billion-dollar supply chains, supporting multimillion-dollar SEC investigations, and conducting quantitative research.
Currently building AI-native trading tech @ Point72
Selected Work
Natural-language search platform for discovering mobile games, powered by LLM-based semantic understanding. Includes a custom recommendation and monetization engine that boosts creator visibility through prioritized ad plans.
see site →Graduate coursework projects including eliminating childcare deserts through integer programming and a Travelling Salesman implementation with advanced heuristics.
see paper 1→ see paper 2→Technical paper co-authored with Dr. James Glimm developing an ETF risk model for Treasury Inflation Protected Securities using proprietary ARMA-GARCH and heavy-tail methods. Presented at Stony Brook's PhD Quant Finance webinar alongside guests from Goldman Sachs, Morgan Stanley, and Renaissance Technologies.
see publication →Education
Fu Foundation School of Engineering & Applied Science
M.S. Operations Research
College of Engineering and Applied Science
B.S. Applied Math & Statistics
B.S. Financial Info Systems
Presidential Scholarship · Outstanding Achievement Award · AMS Reseach Award · Dean's List
Machine Learning Specialization
Stanford Online