AI Research Lead @ J.P. Morgan · NYC
Founding member of J.P. Morgan AI Research. I build AI systems that learn how financial markets work – from foundation models trained on trade-level data to reinforcement learning for portfolio optimization.
Career
Built TradeFM, a foundation model for financial markets, trained on billions of trades, that learns price-formation dynamics across thousands of equities. Deep RL for portfolio optimization, presented across institutional clients; knowledge graphs and graph ML for financial analysis.
Fairness-aware ML for consumer lending (>17k models in production). Time series forecasting for equities.
RL for language model alignment (Dr. Mark Riedl) and RL for trading (Dr. Tucker Balch).
Satellite imagery ML for land-cover classification and crop yield prediction.
Thesis: Domain Adaptation in RL (Dr. Charles Isbell).
High-throughput ML infrastructure (~70× speedup); neural style transfer.
Selected Publications
