Team > Yannick Pensel, M.Sc.
Yannick Pensel, M.Sc.
Faculty of Mathematics, Physics & Computer Science
Chair of Machine Learning in Medicine
Research Field
- Analysis of Longitudinal Biomedical Time Series Investigating temporal dependencies and non-linear dynamics in high-frequency physiological data streams.
- Multi-Modal Sensor Data Fusion Integrating heterogeneous data from CGM, accelerometry, and vital signs to capture complex physiological interactions.
- Machine Learning for Clinical Event Prediction Developing robust predictive models to forecast acute medical risks such as hypoglycemia.
- Personalized Decision Support Systems Creating data-driven algorithms to provide tailored treatment recommendations based on individual patient profiles.
Supervised Student Theses/Projects
- WS 2025/26, Tom Zeilmann: Feature Engineering from wearable and lifestyle data to improve glucose prediction models (Bachelor thesis)
- WS 2025/26, András Bidló: The influence of physical activity
patterns on nocturnal hypoglycemia in children with Type 1 Diabetes (Master thesis)
Faculty of Mathematics, Physics & Computer Science
Chair of Machine Learning in Medicine
Yannick Pensel, M.Sc.
Research Assistant
Room: 1.2.28
Nürnberger Str. 38
95448 Bayreuth, Deutschland
E-mail: yannick.pensel@uni-bayreuth.de