Julius Gervelmeyer

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


Since 2023Institute for AI in Brain Health, Department of Data SciencePhD Student
Since 2021Independent projects, including at ITZ Tübingen, Theaterhaus Jena and HafenCity University HamburgArtist and Programmer
2020-2021Diagnostic and Cognitive Neuropsychology, Department of Psychology, University of TübingenResearch Assistant
2020Neuromadlab, Department of Psychiatry and Psychotherapy, University of TübingenLab Rotation
2018-2019Institute of Applied Agricultural Research, Nürtingen-Geislingen University and Department of the State Commissioner for Animal Welfare Baden-WürttembergResearch Assistant
2017Institute of Evolution and Ecology, University of TübingenResearch Assistant

Academic Education

YearDergreeInstitutionField of Study
2023M.Sc.University of TübingenCognitive Science
2017B.Sc.University of TübingenCognitive Science