Modern machine learning methods offer us the potential to uncover the underlying dynamics that describe the world that surrounds us.
Nicolas Münster
Nicolas has received both a Bachelor’s and Master’s degree in Medical Engineering from the Friedrich-Alexander-University Erlangen-Nuremberg, with a focus on medical image and data processing. In his current position as PhD student at the Hertie AI he focuses on learning meaningful representations of neuroradiological data in the context of disease progression modelling.
Modern machine learning methods offer us the potential to uncover the underlying dynamics that describe the world that surrounds us.
Present Positions And Title
PhD Student
Research Group
Email Address
Career
| Period | Institution | Role |
|---|---|---|
| Since 2025 | Hertie Institute for AI in Brain Health, University of Tübingen | PhD Student |
| 11.2024 -03.2025 | Siemens Healthineers, Research & Development Advanced Therapies | Research Assistant |
| 03.2024 - 06. 2024 | Stanford University, Radiological Science Laboratory | Research Assistant |
| 10.2022 - 01.2024 | Siemens Healthineers, Research & Development CT Branch | Working Student |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| 2025 | M.Sc | Friedrich-Alexander-University Erlangen-Nuremberg | Medical Engineering |
| 2022 | B.Sc | Friedrich-Alexander-University Erlangen-Nuremberg | Medical Engineering |