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