Mathis Makarski

I obtained my B.Sc. in Electrical Engineering from RWTH Aachen University and am currently pursuing two M.Sc. degrees through the TIME Double Degree Program. I earned my first M.Sc. in Applied Physics from Keio University in Japan, where I conducted research in the field of Quantum Machine Learning. At RWTH Aachen, I am completing my second M.Sc. in Electrical Engineering with a specialization in Computer Engineering. My current thesis research at PGI-14 focuses on parameter-efficient online adaptation of cluster moves for hard combinatorial optimization. This involves investigating deep learning models and benchmarking their performance against state-of-the-art algorithms.