Max Planck Research Group Leader Neural Systems Theory
- since 2022: Group Leader, MPI for Dynamics and Self-Organizaiton, and Professor, Department of Physics, Georg-August University Göttingen
- since 2016: Max Planck Research Group Leader, MPI for Dynamics and Self-Organization, Göttingen, Germany
- 01/2017 – 03/2017: Guest Researcher, Ernst-Strüngmann-Institute, Frankfurt
- 2014 – 2016: Bernstein Fellow and Group Leader, Bernstein Center for Computational Neuroscience & MPI for Dynamics and Self-Organization, Göttingen, Germany
- 2013 – 2014: PostDoc, MPI for Dynamics and Self-Organization, Göttingen, Germany
- 2013: PhD, Goethe University Frankfurt, Germany
- 2008 – 2013: Research Projects at the Ecole Normale Superieure (Paris, France), Caltech
- Pasadena, USA), MPI for Brain Research & FIAS (Frankfurt, Germany)
Honours, Grants & Service to the Community
- since 2023: member of the Göttingen Academy of Science and Humanities
- 2022: Lise Meitner Lecturer, German Physical Society (DPG) and Austrian Physical Society (ÖPG)
- 2022: Arthur Burkhardt Award
- 2021: Dannie Heineman Award of the Göttingen Academy of Sciences and Humanities
- 2021: Lower Saxony Science Prize
- 2021:Communitas Prize, Max Planck Society
- since 2021: member of Junge Akademie
- since 2020: Associated to the Max Planck - U of Toronto Centre of Neurophysics
- since 2020: Lead-PI in a project of the SPP 2205 “Evolutionary Optimisation of Neuronal Processing”
- since 2019: Scientific Member of the Max Planck Society
- since 2019: Initiation of the “Göttingen Neural Networking” Days
- 2016 – 2017: German-Israel Foundation (GIF) Young Investigator Grant
- since 2015: Fellow of the Schiemann Kolleg of the Max Planck Society
- 2014 – 2016: Bernstein Fellow
- 2010: Thomas B. Grave and Elizabeth F. Grave Scholarship
Major Research Interests
- Neural Networks
- Neural Networks
- Information Processing
- Statistical Physics
- Nonlinear Dynamics
- Collective Phenomena
- Living Computation
- Self-Organization of Computation
- Neural Plasticity & Learning
- Homeostatic Plasticity
- Design and Optimization of Neural Computation
- Information Theory