Stas
Syrota

I am a PhD candidate at the Technical University of Denmark, supervised by Søren Hauberg. My work sits at the intersection of geometry, statistics, and deep learning — focused on the identifiability of latent variable models and Bayesian approaches to uncertainty in neural networks.

Before starting my PhD, I completed a Master’s in Mathematical Modeling at DTU and a Bachelor’s in Mathematics-Economics at the University of Copenhagen. In between, I worked as a Machine Learning Engineer building recommender systems and as a Data Scientist.