I am a second-year PhD student in Mathematics at New York University. My doctoral program is conducted jointly between NYU Courant and NYU Shanghai. I am fortunate to be advised by Mathieu Laurière.

My research focuses on understanding how mathematics explains and enhances the empirical successes of machine learning. In my work, I employ tools from probability theory, stochastic processes, and stochastic optimal control.

This website is currently under preparation; in the meantime, a short version of my CV is available here.

Contact

I can be reached by email at lev.fedorov [at] nyu.edu.

I am always happy to discuss AI for social good, nonprofit initiatives, and research collaborations.