Christoph Löser M.Sc.

Member of the Institute for Artificial Intelligent Systems in Medicine and the Robust Data Science Group at the Institute of Telecommunications, TU Darmstadt

Contact

work +49 6151 16-21713

Work S3|06 F9
Merckstraße 25
64283 Darmstadt

Office Hours: Appointments upon request per mail.

Research Interests

  • error-controlling methods for high-dimensional variable selection
  • Non-invasive estimation of vital signs
  • Radar-based localization and vital sign estimation
  • Programming languages: C++, Python, R

Biography

Christoph Löser received his Bachelor's and Master's degrees in Electrical Engineering and Information Technology from the Technical University of Darmstadt (TU Darmstadt), majoring in Sensors, Actuators and Electronics (SAE). During his studies, he specialised in the field of data science with a focus on statistically robust methods, high-dimensional data and biomedical applications. He wrote his master’s thesis on “Efficient Graph Learning for High-Dimensional Data” at the Robust Data Science Group.

Since March 2025, he has been working as a PhD student at the Robust Data Science Group and the Institute for Artificial Intelligent Systems in Medicine. As part of his work, he is involved in the Cyber-Physical Systems (CPS) program of the LOEWE center emergenCITY.