Summary
Greg Kocher is an AI researcher and ML engineer with 10+ years of experience applying machine learning across search ranking, advertising, time-series forecasting, reinforcement learning for trading, and defense/biotech signal processing and computer vision. He combines hands-on applied work at companies like eBay, Amazon, Uber, and J.P. Morgan with mechanistic interpretability research at MATS and the Supervised Program for Alignment Research, bridging production impact and deep model understanding. His background in astrophysics and an MS in Computer Science informs a rigorous, quantitative approach to noisy, real-world data and Bayesian state estimation. An active angel investor in early-stage tech, he often backs founders working on high-impact AI and computational biology applications.
10 years of coding experience
3 years of employment as a software developer
BA, Astrophysics, BA, Astrophysics at University of California, Berkeley
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University
Stanford University