biography
Hi there! Since March 2022, I am a PhD student at the Institute for Data Science in Mechanical Engineering at RWTH Aachen University under the supervision of Sebastian Trimpe, and since September 2023 I am an associate doctoral researcher at the UnRAVel Research Training Group funded by the DFG.
Prior to that, I completed a bachelor’s degree in mechanical engineering and a subsequent master’s degree in automation engineering with a focus on machine learning and control, both at the RWTH Aachen University. During my studies, I received the Germany Scholarship, a MathWorks Fellowship, and was selected repeatedly for RWTH Aachen University’s Dean’s List. For my master thesis under supervision from Alexander von Rohr and Sebastian Trimpe on parameter search in time-varying environments using Bayesian optimization I received the SEW-EURODRIVE Student Award.
My current research evolves around uncertainty quanitifaction when learning system dynamics and detecting changes in system dynamics with probabilistic quarantees. Furthermore, I am interested in Bayesian optimization–specifically in high-dimensional and time-varying approaches.
interests
- Bayesian optimization
- Uncertainty quantification
- Model predictive control and model-based RL
education
Ph.D. in Learning-based Control, ongoing
RWTH Aachen University
M.Sc. in Automation Engineering, 2021
RWTH Aachen University
B.Sc. in Mechanical Engineering, 2019
RWTH Aachen University