Christoph Clement

I build and scale applied AI systems at Khumbu in Munich. We are building a world model for molecular biology to advance drug discovery, with an initial focus on diabetes. My work spans binding-affinity prediction, protein modeling, and the engineering infrastructure behind research workflows.

Living with type 1 diabetes makes healthcare personal to me. It’s a big part of why I work on applying AI to drug discovery.

I completed my PhD in Biomedical Engineering at the University of Bern in 2024, working on biomedical AI and medical imaging in nuclear medicine. During a research stay at Harvard Medical School and Massachusetts General Hospital, I worked on PET/CT foundation models.

Earlier, I worked on deepfake detection at TUM and delivered data science workshops at Celonis. My background also includes robotics at TUM and Technology Management at CDTM.