Pavel Izmailov
About
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
Research Performance Summary
First Recorded Paper
Gaussian Processes for Machine Learning
Year: 2016
Citations: 0
Venue: N/A
Latest Recorded Paper
Reliable and Responsible Foundation Models: A Comprehensive Survey
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2602.08145
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.