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
christoph.loeser@tu-...
work +49 6151 16-21713
Work
S3|06 30
Merckstraße 25
64283
Darmstadt
Office Hours: Appointments upon request per mail.
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.
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
| Fatemeh Aboulhassani Chimeh, Nuria Madueño Morales | mmVitals: Continuous Vital Signs Monitoring Using mmWave Radar | Project Seminar Biomedical Systems, Summer Semester 2026 |
| Pedro Bacic | AI-Based Data Selection for Weather Radar Systems | External Master's Thesis, Fraunhofer Institute for High-Frequency Physics and Radar Technology FHR |
| Daniela Dölz Gutierrez | Development of a Robust and Automated Open-Source Analysis Pipeline for Medical Registries | External Master's Thesis, Institute for Medical Informatics Frankfurt |
Publications
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