Lev Fedorov is a Ph.D. student in Mathematics at NYU Shanghai, working under the supervision of Professor Mathieu Laurière. His research focuses on mathematical models of machine learning, with interests spanning mean-field games, applied mathematics, probability, and stochastic analysis. Prior to joining NYU Shanghai, he earned his degree with a specialization in functional analysis from the Faculty of Mechanics and Mathematics at Lomonosov Moscow State University (LMSU) and was a member of the prestigious Vega Institute Foundation Fellowship program in mathematical finance.
Research Interests
- Probability
- Mathematics of Machine Learning
- Mathematical Finance
- Mean Field Games