I'm doing a master's in computer science through a dual study program, combining university coursework at Darmstadt University of Applied Sciences with practical work at Merck in Darmstadt, Germany.
I like getting to the bottom of things: understanding ideas and problems from other fields and figuring out how to model or solve them with computer science. I enjoy turning these ideas into working prototypes and seeing how they hold up in practice. Along the way, I'm learning more about machine learning and cloud systems.
At Merck, I contribute to BayBE, an open-source toolkit for Bayesian experimental planning. My work includes benchmarking, evaluation workflows, and the cloud infrastructure behind them. I also explore new applications of Bayesian optimization.
Away from the keyboard, you'll find me in a theatre group — sometimes on stage, sometimes helping with the technical side.