Peter Rupprecht

Peter Rupprecht, PhD, leads a research group at the University of Zurich under the SNF Ambizione fellowship. His work bridges physics, biology, and computational neuroscience, focusing on neuronal plasticity and astrocyte signaling in mice and zebrafish models.

• University of Zurich (2019-present, postdoc and group leader)
• University of Basel (PhD, 2014-2019)
• ENS Lyon (2013, research collaboration)
• University of Bayreuth (Diploma, 2009-2013)

Research interests center on behavioral timescale synaptic plasticity, closed-loop neuroscience, and self-organization of neural networks. Key methods include two-photon calcium imaging, optogenetics, and deep learning for spike inference. His group develops tools for 3D cell detection and gradient-based refinement in large brain samples.

Recent publications highlight innovations in GCaMP8-based spike inference, hypothalamus-habenula circuits, and computational modeling of neuronal assemblies. Collaborative work spans optogenetic stimulation, synaptic event analysis, and behavioral paradigms in head-fixed mice.

• SNF Ambizione fellowship (2023)
• Prominent publications in Nature Neuroscience, Cell Reports, and eLife

PhD student Shinjini Ghosh is currently part of his team, working on astrocytic calcium imaging data analysis and algorithm development. The group emphasizes Python/Matlab proficiency and spends significant time on data analysis rather than large-scale experiments.