Jonas Beck

Jonas Beck
Jonas Beck is interested in probabilistic inference in mechanistic models of neuroscience. More specifically, he applies probabilistic numerical methods and simulation-based inference to fit Hodgkin-Huxley models to observed (experimental) data as part of the PIMMS Network Project of the Cluster of Excellence - Machine Learning for Science.
Mechanistic models allow to make precise and testable predictions about the underlying biophysical mechanisms that influence neural activity.

Present Positions And Title

PhD Student

Research Group

Social Media


Since 2022University of Tübingen & IMPRS-IS PhD student
2020University of Tübingen, Berens & Macke labLab Rotation
2020University of Tübingen, Levina labLab Rotation
2019Sultan Qaboos University, Muscat, OmanResearch assistant

Academic Education

YearDergreeInstitutionField of Study
2019 - 2021M.Sc.University of TübingenNeural Information Processing
2015 - 2019B.Sc.University of PotsdamPhysics