Summary
Leon Li is a researcher with a decade of experience at the intersection of machine learning, reinforcement learning, and AI safety, currently advancing research at Modal in New York. He holds BS and MS degrees from Columbia and is pursuing a PhD in Computer Science at NYU, blending rigorous academic training with applied lab work. His projects span LLM/VLM reasoning, RLHF and simulation, biologically plausible memory mechanisms, and blockchain-based markets, reflecting a rare mix of theoretical neuroscience and practical LLM safety expertise. Leon has collaborated across Columbia’s engineering and business schools, contributing to both foundational models and decision-making systems. Notably, he has interned in industry research settings and maintains a public portfolio at leonlixyz.github.io that showcases his cross-disciplinary experiments.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at New York University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Columbia University