Summary
Yann Zerlaut is a computational neuroscientist and junior professor at Sorbonne Université with 12 years of experience probing how cortical networks process information using theoretical neuroscience and data‑science tools. His trajectory spans rigorous biophysical modeling and state‑dependent network analysis from a PhD at UPMC through postdoctoral roles at IIT, CNRS, and the Paris Brain Institute, where he combined meta‑analysis and data curation for large neuroinformatics projects. He blends physics training in complex systems with cognitive science insights to link single‑cell biophysics to population dynamics and emergent computation. Known for bridging theory and reproducible data practices, he often develops tooling for data sharing and knowledge‑graph meta‑analysis alongside mechanistic models. Based in Paris, he pairs deep quantitative modeling with practical skills in neurophysiology and data science to tackle foundational questions about cortical information processing.
12 years of coding experience
MSc,, Cognitive Science, MSc,, Cognitive Science at École des hautes études en sciences sociales (EHESS)
MSc, Physics of Complex Systems, MSc, Physics of Complex Systems at Université Pierre et Marie Curie (Paris VI)
CPGE
BSc, Physics, BSc, Physics at Université Paris Sud (Paris XI)
Ludwig Maximilian University of Munich
PhD, Neuroscience, PhD, Neuroscience at Université Pierre et Marie Curie
French, English, Italian, German