Paweł Przybyłowicz

About

Paweł Przybyłowicz is an Associate Professor and Deputy Dean for Cooperation at AGH University of Science and Technology in Poland. His research primarily focuses on stochastic differential equations, random algorithms, and their applications to various mathematical models. Recent publications include studies on the randomized Euler algorithm, convergence of Runge-Kutta schemes, and deep learning methods for estimating time-dependent parameters in Markov models.