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PhD (Dr.-Ing.) in Machine Learning / Learning-based Control

RWTH Aachen University, Germany

Bayesian Optimization and Bayesian Deep Learning for Dynamical Systems and Control

• Associated Doctoral Researcher at the Research Group UnRAVeL (since 2023)
• Cambridge Ellis Unit Summer School on Probabilistic Machine Learning, Cambridge, UK (2023)

Master of Science, Automation Engineering

RWTH Aachen University, Germany

Focus on Control Theory and Machine Learning

Bachelor of Science, Mechanical Engineering

RWTH Aachen University, Germany

Focus on Energy and Process Engineering

Doctoral Researcher

Institute for Data Science in Mechanical Engineering, RWTH Aachen University

Research on nonlinear event-triggered learning and (time-varying) Bayesian optimization. Teaching: Creation of a massive open online course (MOOC) on “Reinforcement Learning” and a MOOC for “Learning-based Control” (in preparation); supervision of Bachelor and Master theses

Student Teaching Assistant

Institute of Automatic Control, RWTH Aachen University

Development of a nonlinear model predictive controller for the power train of fuel cell hybrid vehicles; comparison of tracking and economic nonlinear model predictive control

Student Teaching Assistant

Institute of Automatic Control, RWTH Aachen University

Assist students in the Tutorial Control Engineering (fundamentals of control theory); present solutions to approximately 700 students

Internship

Porsche Engineering Services GmbH

Student Award

SEW-EURODRIVE Foundation

Award for the best Master's thesis at the faculty.

Dean's List

RWTH Aachen University

Top 5% of students in the course of study.

MathWorks Fellowship for Graduate Students

The MathWorks GmbH

Germany Scholarship

RWTH Education Fund