Pavel Izmailov

Photo of Pavel Izmailov

I’m a PhD student in Computer Science at NYU, working with Andrew Gordon Wilson. I am primarily interested in better understanding Deep Neural Networks and finding more efficient ways of training them. In particular my interests include loss surface analysis, optimization and regularization in deep learning. I am also excited about deep semi-supervised learning, Bayesian deep learning, generative models, Gassian processes and other topics.

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 in the Bayesian Methods Research Group under supervision of Dmitry Vetrov and Dmitry Kropotov.

In the summer of 2019 I completed a research internship in Amazon AWS in Palo Alto, working with Bernie Wang, Alex Smola.

You can contact me at and follow me on Twitter.



Workshop Papers