Reinforcement Learning for Agents – Will Brown, ML Researcher at Morgan Stanley
Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025
About Will
Hi! I’m a machine learning researcher based in New York City.
I am a member of Morgan Stanley’s Machine Learning Research group, where I have been primarily working on projects related to language models and sequential prediction. I completed my PhD (CS) at Columbia, where I was fortunate to be co-advised by Christos Papadimitriou and Tim Roughgarden.
Before that, I was an undergrad (CS + philosophy) and masters (DS) student at Penn, and I’ve spent time in research and engineering roles at AWS, Two Sigma, MongoDB, and AmFam
Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World’s Fair, in SF June 3 – 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025
About Will
Hi! I’m a machine learning researcher based in New York City.
I am a member of Morgan Stanley’s Machine Learning Research group, where I have been primarily working on projects related to language models and sequential prediction. I completed my PhD (CS) at Columbia, where I was fortunate to be co-advised by Christos Papadimitriou and Tim Roughgarden.
Before that, I was an undergrad (CS + philosophy) and masters (DS) student at Penn, and I’ve spent time in research and engineering roles at AWS, Two Sigma, MongoDB, and AmFam
