I am a PhD candidate at the Chair of Information-Oriented Control (TUM-ITR), where I work towards creating novel methodologies for data-driven forecasting and decision-making with performance guarantees. Developing such algorithms is of high relevance in data-driven modeling, learning control and AI for science, with applications in system identification, optimal control, simulation and uncertainty quantification.
Together with the research team at TUM-ITR and in collaboration with partners across Europe, I helped develop strategies for the automated collection of underwater litter as part of the SeaClear project. In particular, my work with the team related to robotic software development, motion planning, as well as real-time control and estimation.