Pavel Izmailov

Contact: pi390@nyu.edu, Twitter

Bio

I am a Researcher at Anthropic. I am primarily interested in reasoning, AI for science and AI alignment.

Previously, I worked on reasoning and problem solving in language models at OpenAI. I contributed to the recent OpenAI o1 models, a new state-of-the-art in LLM reasoning. I have also worked on weak-to-strong-generalization on the superalignment team under Jeff Wu, Jan Leike and Ilya Sutskever. I also had a short stint at xAI, where I reported to Elon Musk.

Starting in Fall 2025, I will be joining NYU as an Assistant Professor in the Tandon CSE department, and Courant CS department by courtesy. I am also a member of the NYU CILVR Group.

In 2023, I defended my PhD in Computer Science at NYU, under the supervision of Andrew Gordon Wilson. In years 2017–2019 I was a PhD student in Operations Research and Information Engineering at Cornell University, after which I received an MSc degree and transferred to NYU. I received a BSc in applied math and computer science from the faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University, where I was working at the Bayesian Methods Research Group under supervision of Dmitry Vetrov and Dmitry Kropotov.

In the summer of 2019 I completed a research internship at Amazon AWS in Palo Alto, working with Bernie Wang and Alex Smola. In the summer of 2020 I worked with Matt Hoffman at Google AI. Between June 2021 and February 2022 I worked with Alex Alemi and Ben Poole at Google as a research intern and a student researcher. In the summer of 2022 I worked with Lucas Beyer and Simon Kornblith at Google Brain (now DeepMind).

• [Home, Bio, Publications, Talks, CV, GitHub, Google Scholar, Semantic Scholar]