Robert T. McGibbon

I am currently employed as a researcher at Hudson River Trading, where I develop machine learning and artificial intelligence algorithms to improve automated trading strategies.

From 2016 to 2025, I worked in the force field group at D.E. Shaw Research. While there, I built machine learning and physics-based computational models that used special-purpose supercomputers to study prospective drugs and the biological targets they interact with.

I earned my Ph.D. in Chemistry at Stanford University (2016), where I worked with Vijay Pande on long-timescale molecular dynamics simulations and time series analysis. My thesis is available here. I earned my bachelor's degree at Princeton University (2011), where I studied Chemistry and Computer Science and worked with Andrew Bocarsly.

In my free time, I read, rock climb, and contribute to open source software. I live with my wife and dog in Park Slope, Brooklyn. You can contact me at