Staff & contact
CACoM (Clinical Applications of Computational Medicine) is organized by Prof. Dr. Martin Daumer and hosted by the Chair of Data Processing (LDV) at the TUM School of Computation, Information and Technology, Technical University of Munich. The course is closely connected to The Human Motion Institute, the Sylvia Lawry Centre for Multiple Sclerosis Research (SLCMSR) and Trium Analysis Online GmbH.
Prof. Dr. Martin Daumer
Prof. Daumer is the course leader and gives the core lectures on computational medicine, clinical data science and translational research. He is responsible for the course's scientific and teaching direction and has a say in topic approval, the evaluation of project quality and final grading. He also directs The Human Motion Institute and the SLCMSR and is Managing Director of Trium Analysis Online GmbH.
Office hours are by appointment; request one via support@cacom.dev.
Dr. Marcin Mider
Dr. Mider is a Senior Software Engineer at Trium Analysis Online GmbH and assists with the course. He supports topic development, communication with students and the integration of computational tools into project workflows, and he helps maintain and improve the course's digital infrastructure.
Guest lecturers
Each semester, guest speakers give some of the sessions. Clinicians present real-world problems in diagnostics, monitoring and therapy. Researchers show current methods in computational medicine and AI for health, and industry partners talk about bringing computational solutions into practice. Guests may also propose collaborative topics or mentor projects.
Contact
All communication with the course team goes through support@cacom.dev, our ticketing system. That includes proposals, questions, absence notices, requests for approval and incident reports. Please don't email individual staff members.
Use this subject line format:
[CACoM Winter26/27][Group #][Short title] Your question
For example: [CACoM Winter26/27][Group 4][CTG beat detection] Proposal submission. Add the group number once your group has one. The tags help us track tickets quickly, especially since CACoM runs more than once a year.
Write in English, the course language. German is fine with external partners who prefer it. Keep tickets short; long technical questions are easier to discuss in class or at an appointment.
CC support@cacom.dev on every email you exchange with collaborators, including the first one. The Collaboration policy explains how to approach them.
Never attach patient, pseudonymized or proprietary data to a ticket. Share such data only through the CACoM Google Drive, as described in Data privacy.