Valentin Schmutz
Postdoc in the Seminar for Statistics at ETH Zürich
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About
About
Valentin Schmutz is a theoretical neuroscientist and applied mathematician working with Prof. Yuansi Chen in the Seminar for Statistics at ETH Zürich. Before joining ETH, he was a postdoc with Prof. José Carrillo at the Mathematical Institute, University of Oxford and with Prof. Kenneth D. Harris at the Queen Square Institute of Neurology, University College London. He studied Medicine at the University of Lausanne, Mathematics at École Normale Supérieure Paris, and completed his PhD in Neuroscience at École Polytechnique Fédérale de Lausanne, where he was advised by Prof. Wulfram Gerstner and Prof. Eva Löcherbach. He was awarded a Royal Society Newton International Fellowship and is currently supported by an SNSF Postdoc.Mobility return fellowship.
Research
Research
I work on the mathematical theory of emergent population dynamics in large networks of neurons. To this end, I combine methods from interacting particle systems, high-dimensional probability, graph theory, and partial differential equations; and collaborate closely with experimental and computational neuroscientists.
Selected publications
Selected publications
Linking neural manifolds to circuit structure in recurrent networks (2026)
Pezon L., Schmutz V.*, Gerstner W.*
Neuron
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model (2025)
Schmutz V.*, Haydaroğlu A.*, Wang S., Feng Y., Carandini M., Harris K. D.
NeurIPS (Oral)
Emergent rate-based dynamics in duplicate-free populations of spiking neurons (2025)
Schmutz V., Brea J., Gerstner W.
Physical Review Letters
On a finite-size neuronal population equation (2023)
Schmutz V., Löcherbach E., Schwalger T.
SIAM Journal on Applied Dynamical Systems
Long time behavior of an age- and leaky memory-structured neuronal population equation (2022)
Fonte C., Schmutz V.
SIAM Journal on Mathematical Analysis
Some links
Some links
Profile pages: Google Scholar | ORCID | MathSciNet
Preview by Tatiana Engel on Pezon et al. (2026) Neuron
Talk by Wulfram Gerstner on Schmutz et al. (2025) Phys. Rev. Lett.
EPFL news article on Schmutz et al. (2025) Phys. Rev. Lett.
Talk by Tilo Schwalger on Schmutz et al. (2023) SIAM J. Appl. Dyn. Syst.
Contact
Contact
Email: firstname.lastname@math.ethz.ch
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