Postdoctoral Researcher at LMU University Hospital Munich
Medical AI · Privacy-Preserving Computing · Neuroscience · Sports Science
I build machine learning systems that turn physiological signals and medical images into clinical intelligence.
- Biosignal Analysis & Wearable AI: ECG foundation models, Seizure detection/prediction from multimodal wearables
- Applied LLM Systems & Generative AI: Multi-step pipelines for structured extraction & quality appraisal, self-hosted LLM serving (vLLM, Ollama)
- Medical Computer Vision: Angiography video analysis, Digitalization of the Cath-lab
- Privacy-Preserving Federated Computing: Secure Multiparty Computation, cross-border clinical analytics
| Project | Description |
|---|---|
| papermole | Multi-step LLM pipeline for structured extraction & quality appraisal from scientific literature — powered a 196-study systematic review |
| xca-dl-review | Structured extraction database (196 studies) & reproducible analysis — companion to a systematic review under review at npj Digital Medicine |
| secure-median | Secure Median for Federated Secure Computing (Applied Sciences 2024) |
| pi-mpc-demo | MPC implementation on Raspberry Pi hardware |
| claude-code-docker | Secure Docker environment for Claude Code |
| ICTALS2025 | Workshop materials: wearable-based seizure detection |
| pydmdeeg | Dynamic Mode Decomposition for EEG analysis — used in 4 publications |
Dr. rer. nat. · Neuroscience · Paderborn University (summa cum laude)


