Summary
Hoang Le is a Staff AI Scientist and Engineer with a decade of experience applying machine learning to real-world sequential decision problems, currently advancing autonomous systems at Latitude AI. He blends deep research expertise—from a Caltech PhD in Computing and Mathematical Sciences to roles at Microsoft Research, Disney Research, and Argo AI—with hands-on engineering that ships robust, production-focused solutions. His work sits at the intersection of reinforcement learning, imitation learning, and optimal control, with a particular interest in injecting domain knowledge into data-driven methods to improve efficiency and safety. Before academia, he gained analytical rigor in private equity at Capital Z Partners, an unusual background that informs his pragmatic approach to research impact. Based in Camas, Washington, Hoang is comfortable moving between cutting-edge theory and scalable engineering practices to tackle one of AI’s hardest problems.
10 years of coding experience
8 years of employment as a software developer
California Institute of Technology
Master's degree Cognitive Systems and Interactive Media, Master's degree Cognitive Systems and Interactive Media at Universitat Pompeu Fabra