Nikolay Shumovskyi

Nikolay Shumovskyi is an accomplished data scientist and academic with extensive experience in machine learning and statistical analysis. Currently serving as an Associate Director at UBS since April 2023, Nikolay analyzes financial data to provide actionable insights and develop machine learning models to optimize business processes. Previously, Nikolay was a Lead Data Scientist at Medvice, where innovative advancements in Hierarchical Reinforced Learning models were made. Nikolay's academic background includes a PhD in Statistical and Computational Physics from Boston University, where theoretical and computational approaches to complex systems and biophysics were applied. Additional roles include teaching and research positions at esteemed institutions, showcasing expertise in statistical techniques and computational simulations.