CV

Systems (high-density electrophysiology, optogenetics, rodent behaviour, cerebellum) and computational (biophysical modelling, deep learning, dynamical systems) neuroscientist.

Maxime Beau, Ph.D.

Field Systems and Computational Neuroscience
Email maxime@princeton.edu
Github m-beau
Scholar dwvkuEAAAAAJ

Education

Experience

Technical Expertise

  • Systems Neuroscience
    • In vivo high-density electrophysiology (first Neuropixels recording in the cerebellum)
    • Optogenetics, rodent behaviour (surgery, training, analysis)
    • Analog and digital electronics, signal synchronization, Arduino programming
    • Confocal microscopy, volumetric image processing
    • Perfusions, histology, PCR, bacterial cloning
  • Computational Neuroscience
    • Machine Learning - clustering, semi-supervised learning, deep generative models (Beau et al., Cell, 2025)
    • Neural data analysis - spike-sorting, spectral analysis, general linear models, dynamical systems
    • Python open-source software development (NeuroPyxels)
    • Biophysical modelling - NEURON (Senol et al., 2022) and BRIAN simulation environments

Selected Publications

Invited Talks

  • Mar 2025

    online

    John Hopkins Cerebellum Seminars
  • Jun 2024

    London, UK

    Jon Driver Prize Winner
  • Jan 2024

    Montpellier, France

    French cerebellum day, Institute for Neurosciences of Montpellier
  • Oct 2023

    London, UK

    University College London Open Science Award ceremony
  • Aug 2023

    Lewiston, ME

  • Jan 2023

    Paris, France

    French cerebellum day, Institut du Cerveau et de la Moëlle Épinière
  • 2018-2022

    online

  • Jan 2022

    online

    Shadmehr lab, Johns Hopkins University
  • Jan 2020

    Bern, Switzerland

    Systems neuroscience department, Universtät Bern

Selected Conference Presentations

  • 2023

    ME, USA

    Cerebellum Gordon Research Conference
    Beau, M., Stabb, H., ... and Häusser, M.
    What Purkinje cells tell the nuclei: insights from monosynaptic paired recordings in behaving mice.
  • 2022

    CA, USA

    Society for Neurocience
    Beau, M.*, Herzfeld, D.J.*, ... Medina, J†. and Häusser, M.†
    The C4 initiative: Cross-species cell type classification of high-density recordings in the cerebellar cortex.
  • 2021

    online

    Society for Neuroscience
    Beau, M., Váradi, M., Ratto, R., Kostadinov, D., Cohen, D. and Häusser, M.
    Signal transformations along the cerebellar output pathway in behaving mice.
  • 2019

    Switzerland

    Cerebellum Gordon Research Conference
    Beau, M., Kostadinov, D. and Häusser, M.
    Functional interactions between cerebellar cortex and nuclei in behaving mice.
  • 2018

    CA, USA

    Society for Neuroscience
    Beau, M., Kostadinov, D., Blanco Pozo, M. and Häusser, M.
    Probing the functional interactions between distinct elements of the cerebellar cortex and deep nuclei circuitry in awake behaving mice.

Awards and Honors

Teaching and Mentoring

Open Source Projects

  • NeuroPyxels
    NeuroPyxels (npyx) is a Python library built for electrophysiologists using Neuropixels electrodes. It features a suite of core utility functions for loading, processing and plotting Neuropixels data.
  • CacheCache
    CacheCache is a Python library for decorating functions with flexible, runtime-configurable caching.

Volunteering and General Skills

  • Society executive positions
  • Programming
    • Python: 9 y. experience, see NeuroPyxels and CacheCache
    • MATLAB: 6 y. experience
    • Git: 9 y. experience in multi-collaborators codebase management
  • Extracurricular activities
    • Karate-Do:
          Shotokan ryu
          2023-2025 Kentish Town Karate club instructor
          Black belt 2nd Dan (CSDGE)