Research
Noel’s research interests focus on developing and applying machine learning methods that yield models offering meaningful, data-driven medical insights.
Fundamentally believing in the synergy of integrating interdisciplinary perspectives, he has already contributed to a range of both machine learning and medical research projects (see Google Scholar). Through close collaboration with clinicians and other computer scientists, these efforts have resulted in publications in leading venues across both fields (e.g., The Lancet Digital Health and Intensive Care Medicine) as well as an invitation to review for a top-ranked (Q1) intensive care medicine journal. Notably, he also leads an acclaimed nonprofit initiative, empowering the next generation of researchers and establishing a culture of open, fair, and critical scientific practice.
Interests
- Robust Machine Learning
- Causal Inference
- Digital Health
Supervisors
Noel has contributed to various research projects, working closely with:
| Name | Title | Affiliation | Scope |
|---|---|---|---|
| Prof. Dr. Dr. Felix Balzer | Director | Institute of Medical Informatics, Charité Berlin | Bachelor’s thesis; multiple research projects |
| Prof. Dr. Stefan Haufe | Professor | Research Group for Uncertainty, Inverse Modeling and Machine Learning, Technical University of Berlin | Bachelor’s thesis |
| Prof. Dr. Roland Eils | Founding Director | Center for Digital Health, Berlin Institute of Health, Charité Berlin | Multiple research projects (employment) |
| Dr. Benjamin Wild | Group Leader | Research Group for Artificial Intelligence in the Life Sciences, Center for Digital Health, Berlin Institute of Health, Charité Berlin | Multiple research projects (employment) |
| Prof. Dr. Ulf Leser | Professor | Research Group for Knowledge Management in Bioinformatics, Humboldt-Universität zu Berlin | Master’s project |
| Dr. Simon Buchholz | Postdoctoral Researcher | Department of Empirical Inference, Max Planck Institute for Intelligent Systems | Master’s project |