Machine learning applications have the real potential to aid clinical practice.
Julius Gervelmeyer
Julius Gervelmeyer is a PhD student at the Department of Data Science at Hertie Institute for AI in Brain Health, University of Tübingen. He is a scholar of the program “ClinBrAIn: Artificial Intelligence for Clinical Brain Research”. Julius applies machine learning methods to analyse medical imaging data, specifically focusing on investigating the time-course of Age-related Macular Degeneration. Through his work, he aims to contribute to methods that assist clinicians in decision making, ultimately benefiting society.
Machine learning applications have the real potential to aid clinical practice.
Present Positions And Title
PhD Student
Research Group
Email Address
Phone
Career
| Period | Institution | Role |
|---|---|---|
| Since 2023 | Institute for AI in Brain Health, Department of Data Science | PhD Student |
| Since 2021 | Independent projects, including at ITZ Tübingen, Theaterhaus Jena and HafenCity University Hamburg | Artist and Programmer |
| 2020-2021 | Diagnostic and Cognitive Neuropsychology, Department of Psychology, University of Tübingen | Research Assistant |
| 2020 | Neuromadlab, Department of Psychiatry and Psychotherapy, University of Tübingen | Lab Rotation |
| 2018-2019 | Institute of Applied Agricultural Research, Nürtingen-Geislingen University and Department of the State Commissioner for Animal Welfare Baden-Württemberg | Research Assistant |
| 2017 | Institute of Evolution and Ecology, University of Tübingen | Research Assistant |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| 2023 | M.Sc. | University of Tübingen | Cognitive Science |
| 2017 | B.Sc. | University of Tübingen | Cognitive Science |