I am a Ph.D. student at the Intelligent Control Systems group, supervised by Dr. Sebastian Trimpe. Further, I am a scholar in the International Max Planck Research School for Intelligent Systems (IMPRS-IS), where Prof. Ingo Steinwart and Prof. Bernhard Schölkopf are part of my thesis advisery committee.

The main focus of my reasearch revolves around the fundamental question of when to learn and direct implications to problems where resources are scarce.

My current research combines machine learning with principled decision making as event-triggered learning. Augmenting classical model-based algorithm such as controler synthesis with purposful learning decisions yields powerful novel algorithms that only learn when necessary and beneficial, instead of permanently.

Before joining the Intelligent Control Systems group in 2018, I obtained Bachelor's degrees in Mathematics and Economics from the University of Bonn. For my Bachelor's thesis in Economics I conducted research at the University of California, Berkeley. Afterwards, I obtained a Master's degree in Mathematics and worked with Dr. Sebastian Trimpe for my Master's thesis in the Autonomous Motion Department.

Talks and posters

• Poster at Learning for Dynamics and Control (L4DC), May 2019, MIT, Cambridge (US)
• Talk at Oberseminar Stochastik University of Stuttgart, Jul 2018, Stuttgart (Germany)
• Talk: at the GMA Meeting, Günzburg, Germany, May 2018.
• Poster at Second Max Planck ETH Zurich Workshop on Learning Control, Feb 2018, Zurich (Switzerland)

Supervised student projects

• Henning Schlüter (Event-triggered Learning for Linear Quadratic Control)
• Mona Buisson-Fenet (Actively Learning Dynamical Systems with Gaussian Processes)
• Sebastian Schlor (Event-triggered Learning for Model Predictive Control), ongoing

If you are interested in a Master's thesis or working with me please let me know. I am always looking for exceptional students and collaborators.