Matthias Christian Lutz

Bio

I am a medical student at the Technical University of Munich and currently pursuing my doctoral research under the supervision of Dr. Paul Schmiedmayer at the Stanford Mussallem Center for Biodesign. Throughout my studies, I have consistently focused on the intersection of artificial intelligence and medicine.
My current research at Stanford University is situated in the field of cardiovascular medicine and explores how contextualized large language models can help detect early progression of the Cardio-Kidney-Metabolic (CKM) syndrome and support more precise clinical decision-making. The overarching goal is to translate data-driven approaches into clinical practice and enable more personalized and preventive care.
As part of my medical training, I ranked among the top 1.5% nationwide in the first written medical licensing examination in Germany. In parallel, I gained over two years of practical experience at Brainlab in Clinical Affairs, where I supported international clinical trials and regulatory approval processes in the MedTech sector.
In addition, I am co-founder and chair of OneAIM (one-aim.org), a student-led MedTech initiative that has grown into the largest organization of its kind in Germany, now operating across two locations. Through various programs, OneAIM promotes interdisciplinary programs at the intersection of medicine, technology and innovation.
Beyond research and entrepreneurial activities, I am actively involved in advancing medical education. As the only student member of the curriculum commission at the Technical University of Munich, I take on a leading role in integrating digital medicine into the medical curriculum in a structured and exam-relevant manner. Additionally, I served as the instructor for the elective course “Neural Networks - AI in Medicine” at LMU Munich, where I introduced students to the intersection of clinical medicine and artificial intelligence.