Srijan Sood is a Vice President and founding member of J.P. Morgan AI Research, founded by Dr. Manuela Veloso (former head of ML at CMU). He established and leads the research program on Foundation Models for Markets & Trading – from pre-training large-scale transformers on billions of raw trade messages, through post-training and RL, to world models of markets. Srijan has presented research to the J.P. Morgan Operating Committee and CEO, and built university partnerships with Columbia, CMU-Africa, and BreakThroughAI.

He architected TradeFM, a foundation model for financial markets, trained on billions of trades, that learns universal price-formation dynamics and generalizes across unseen markets and liquidity regimes. Srijan also built a global-scale trade monitoring system processing billions of monthly transactions across 4 international markets, and led deep RL research for portfolio optimization – reproduced and deployed by an institutional client, and presented across hedge funds, banks, and asset managers.

Originally from New Delhi, he attended St. Columba's School before earning his M.Sc. and B.Sc. (Highest Honors) in Computer Science from Georgia Institute of Technology, where he researched reinforcement learning for language model alignment with Dr. Mark Riedl, equities portfolios with Dr. Tucker Balch, and cross-domain reward functions with Dr. Charles Isbell. Srijan lives in New York City.