Attila is a highly motivated mathematician with a passion for financial mathematics, applied probability, machine learning, and mathematical modeling. Throughout his doctoral studies, Attila undertook a year-long internship at MSCI, where his primary focus encompassed portfolio optimization and factor modeling. Currently, he works at the prestigious Alfréd Rényi Institute of Mathematics as a part of the financial mathematics research group. His research primarily focuses on the analysis of ergodic properties of Markov chains in random environments and on developing stochastic algorithms for time series data. Additionally, for over a decade, Attila has been teaching mathematical analysis to foreign students at the Budapest University of Technology and Economics.