Omri Uzan

I am a Ph.D. student in Computer Science at Stanford. I'm fortunate to be advised by Chris Potts. I'm affiliated with the Stanford NLP Group and Stanford AI Lab.

I work broadly on language models. My current topics of interest include: Reasoning, RL, distillation, and effective test-time compute allocation. I'm also interested in better understanding how models represent and update parametric knowledge.

Before Stanford I worked as an engineer at Meta. I completed my B.Sc. and M.Sc. in Computer Science at Ben-Gurion University. My master's thesis focused on evaluating tokenization algorithms in LLMs (1, 2, 3, 4), and I've also worked for a while on information retrieval (1, 2).

I’m always excited to collaborate or exchange ideas. Feel free to reach out!