Summary
Hans Gundlach is a researcher based in Seattle with 11 years of experience at the intersection of deep learning, quantum computing, and AI safety. He has held roles at MIT CSAIL, Cavendish Labs, Redwood Research, and Berkeley, contributing to projects ranging from transformer interpretability and REBUS benchmarking to reinforcement learning for quantum algorithm design. His work combines rigorous theoretical training (Master's in Mathematical Physics from Cambridge) with hands-on systems building—past projects include a deployed traffic-counting neural network in Colombia and an automated Wi‑Fi attendance system for his high school. Notably, he studies both the technological and economic implications of advanced ML and quantum tech, bringing a long-view perspective to safety and capability research. Colleagues describe him as drawn to intellectually curious, unsolved problems and as someone who quickly moves from idea to working code and papers.
11 years of coding experience
2 years of employment as a software developer
Mathematics Physics, Mathematics Physics at University of California, Berkeley
Master's degree Mathematical Physics, Master's degree Mathematical Physics at University of Cambridge
Exchange Student Mathematics, Exchange Student Mathematics at EPFL
Lakeside School
English, French, German