Hi!

I’m a probabilist interested in rare events and extreme values. I hold PhDs from Université de Lausanne and the Steklov Mathematical Institute in St. Petersburg.

Recently my research has expanded into scientific machine learning: I work on neural-network solvers for mean-field games arising in macroeconomics (HANK models, master equation), in collaboration with the Department of Economics at HEC Lausanne.

Research interests: Extreme value theory, Large deviations, Gaussian random fields, Stochastic analysis, Scientific machine learning.

Recent Highlights

Pavel Ievlev
submitted to Extremes (2026)
Pavel Ievlev, Timofei Shashkov, Svyatoslav Novikov
submitted to Stochastic Processes and their Applications (2026)
Mini-course (4 lectures) (2026)
Pavel Ievlev, Timofei Shashkov
accepted in Probability and Mathematical Statistics (2026)
Pavel Ievlev, Svyatoslav Novikov
Scandinavian Actuarial Journal (2025)