Julius Gervelmeyer

Julius Gervelmeyer
Julius Gervelmeyer uses machine learning to investigate the time-course of Age-related Macular Degeneration. He is a PhD student and a scholar of the program "ClinBrAIn: Artificial Intelligence for Clinical Brain Research". Through his work analysing medical imaging data, 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

Machine Learning for Safe Medical Diagnostics

Email Address

julius.gervelmeyer@uni-tuebingen.de

Phone

Career

PeriodInstitutionRole
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

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