I am a doctoral researcher in the Cyber-Physical Systems Group at Aalto University in Espoo, Finland. I am supervised by Dominik Baumann and advised by Thomas Schön. My research lies at the intersection of machine learning, nonparametric approximation, automatic control, and optimization. In particular, I focus on safe control parameter tuning for single- and multi-agent systems, with an emphasis on Bayesian optimization and kernel methods.

I received my B.Sc. and M.Sc. degrees in Mechanical Engineering from RWTH Aachen University, Germany, in 2020 and 2022, respectively. I conducted my master’s thesis at ETH Zurich under the joint supervision of Johannes Köhler, Christian Fiedler, Melanie Zeilinger, and Sebastian Trimpe. In recognition of my academic achievements, I was awarded the Springorum Commemorative Coin for my Master’s degree and the Friedrich-Wilhelm Award for my Master’s thesis, both from RWTH Aachen University.

News

• Jan 2026: I started off the year by giving a talk/seminar for Lars Lindemann’s lab. Check out the slides!
• Dec 2025: I attended CDC 2025 in Rio de Janeiro, Brazil
• Nov 2025: Our paper “Safe Bayesian optimization across noise models via scenario programming” has been accepted to IEEE Control System Letters
• Oct 2025: I received the Nokia Scholarship, a travel grant of the Finnish Society of Automation, and a scholarship from the Kansallis-Osake-Pankki Fund
• Sep 2025: I presented our poster on safe Bayesian optimization across noise models at the IEEE Finnish Control Workshop
• Sep 2025: I ran the Tallinn Marathon in 3:11
• Jul 2025: Our paper “Towards safe control parameter tuning in distributed multi-agent systems” got accepted to CDC 2025
• May 2025: I presented our work on safe exploration in reproducing kernel Hilbert spaces at AISTATS in Phuket, Thailand