I am a Machine Learning MSc student at the University of Tübingen, supervised by Seong Joon Oh, Michael Kirchhof, and Alexander Rubinstein.

I am interested in model architectures capable of representing different sources of uncertainty. My goal is to contribute to the theoretical foundations of uncertainty in machine learning while developing scalable practical solutions.

I received my BSc degree in Computer Science from ELTE Eötvös Loránd University in 2021 with the Outstanding Student of the Faculty award. I previously worked on neural program synthesis with a focus on provable correctness.