I am a final-year PhD student at the University of Vienna, studying under the supervision of Prof. Immanuel Bomze. My research focuses on mathematical optimization, with an emphasis on conic approaches to MINLP and its applications in interpretable machine learning. Our goal is to develop a whole package for solving large-scale, structured MIQPs arising from machine learning models. These models incorporate logical constraints, making their outcomes more accessible and understandable to human reasoning.

If you share an interest in interpretable machine learning and are passionate about ensuring our world is not dominated by uncontrolled, opaque ML technology, I would be delighted to connect and discuss further!