Pavel Izmailov

Contact: pi390@nyu.edu, Twitter

I am an Assistant Professor in the NYU Tandon CSE department, and Courant CS department by courtesy. I am also a member of the NYU CILVR Group. I am also a Researcher at Anthropic. I am primarily interested in reinforcement learning, reasoning, AI for science and AI alignment.

Previously, I worked on reasoning and superintelligent AI alignment at OpenAI.

My research interests are broadly in understanding how deep neural networks work. I am excited about a broad array of topics in core machine learning, including:

• • Problem-solving and reasoning in AI
• • Reinforcement learning, planning and search
• • Interpretability of deep learning models
• • AI for scientific discovery and math
• • Generalization and robustness of AI models
• • Technical AI alignment
• • Probabilistic deep learning, uncertainty estimation and Bayesian methods

Highlights

• • I contributed to the Anthropic Claude 3.7 Sonnet and Claude 4, state-of-the art reasoning and coding models.
• • I contributed to OpenAI o1, a new state-of-the-art in LLM reasoning.
• • Our work on weak-to-strong generalization was covered by a WIRED, MIT Technology Review and others.
• • Our work on Bayesian model selection was recognized with an Outstanding Paper Award at ICML 2022!

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