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Course Staff

CACoM (Clinical Applications of Computational Medicine) is organized by Prof. Dr. Martin Daumer hosted within the Chair of Data Processing (LDV), TUM School of Computation, Information and Technology, Technical University of Munich.

The course is closely connected to the The Human Motion Institute, Sylvia Lawry Centre for Multiple Sclerosis Research (SLCMSR) and Trium Analysis Online GmbH, all directed by Prof. Daumer.

Course Leadership​

Prof. Dr. Martin Daumer​

Course Leader
Managing Director, Trium Analysis Online GmbH
Director, Sylvia Lawry Centre for Multiple Sclerosis Research (SLCMSR)

Prof. Daumer leads the CACoM course and gives core lectures on computational medicine, clinical data science, and translational research.
He is responsible for the overall scientific and pedagogical direction of the course — including voicing opinion on topic approval, evaluation of project quality, and final grading.

📧 Contact: available on moodle 🕓 Office hours: by appointment

Student Assistant​

Pooja N. Annaiah​

Course Coordinator

Supports students throughout the course — coordinating topic discussions, helping refine project ideas, and facilitating communication between teams, collaborators, and instructors. She closely follows project progress, advises on methodological and organizational issues, and provides feedback and evaluation input that contributes to the final grading process.

📧 Contact: available on moodle

Assistant​

Dr. Marcin Mider​

Senior Software Engineer, Trium Analysis Online GmbH

Contributes to the technical and organizational aspects of the CACoM course — supporting topic development, student communication, and integration of computational tools into project workflows. Also assists in maintaining and improving the course's digital infrastructure.

Guest Lecturers & Collaborators​

Each semester, CACoM features guest sessions from:

  • Clinicians — presenting real-world challenges in diagnostics, monitoring, and therapy.
  • Researchers — showcasing current methods in computational medicine and AI for health.
  • Industry partners — discussing the translation of computational solutions into practice.

Guest speakers may also propose collaborative topics or mentor specific projects.

Contact Guidelines​

To ensure efficient communication:

  • Always include your group number, project title, and specific question in your subject line (once groups are formed).
  • When emailing, address Prof. Martin Daumer and CC Pooja N. Annaiah.
    (Both should always be in CC on all course-related correspondence.)
  • Keep messages concise and polite — long technical descriptions are better discussed in meetings.
  • Use English for all formal correspondence (official course language).
    For communication with external partners, you may use German if appropriate.
  • Do not contact clinicians or partners directly without including CACoM staff in CC (see Collaboration Policy).

Email Subject Format​

Use the following structure for all course-related emails (once groups are formed):

[CACoM Winter25/26][Group #][Short Project Title] — Topic/Question
(replace “Winter25/26” with “Summer26” for the next run)

Example:
[CACoM Winter25/26][Group 4][CTG Beat Detection] — Proposal Submission

Including the semester, group number, and short title helps instructors track messages quickly — especially since multiple CACoM cohorts run each year.