Stas Syrota - About

I am a PhD student at the Technical University of Denmark (DTU), supervised by Søren Hauberg. Prior to this, I completed a Master’s degree in Mathematical Modeling and Computing at DTU and a Bachelor’s degree in Mathematics-Economics at the University of Copenhagen (KU).

My research lies at the intersection of mathematics and machine learning, where I explore mathematically grounded concepts applied to modern AI methods. Specifically, I focus on Generative Modeling, with research interests spanning identifiability, metric learning, and manifold learning within this context.

Outside of academia, I have worked as a Machine Learning Engineer, training and deploying transformer-based models for personalized search and recommendation systems. I also have experience as a Data Scientist at a pension institute, applying machine learning techniques to real-world data problems.