Cyrille Rossant, PhD

Introduction

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Currently working at University College London (UCL) and International Brain Laboratory (IBL), I develop a broad range of software, notably for neuroscience research: AI / ML models, GPU graphics and computing, interactive data visualization, high-performance scientific computing, databases, GUIs, mobile/web applications and websites.

Languages

Python

JavaScript

HTML

CSS

PHP

Frameworks

NumPy

SciPy

pandas

Jupyter

Django

Flask

GPU

Vulkan

CUDA

OpenGL

WebGL

WebGPU

WebAssembly

Software Projects

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My current projects mainly focus on developing visualization applications for IBL data.

Current

Datoviz

C/Python library for high-performance, scalable interactive scientific visualization.

Vulkan C

IBL Viz website

Web app for visualization of IBL data.

HTML JavaScript Unity C#

IBL Atlas website

Web app for exploration of the IBL electrophysiology atlas of the mouse brain.

HTML SVG JavaScript Unity

Past

2022

Brain streamlines

Numerical integration of partial differential equations on GPU for 3D visualization purposes.

Python NumPy CUDA

2019

mtscomp

Lossless compression of raw electrophysiological recordings.

Python NumPy

2014

phy

GUI for manual curation of dense multichannel electrophysiological recordings (Neuropixels).

Python Qt OpenGL

2017

Alyx

Database and web-based interface for mouse colony management and complex data storage and access.

Python Django

2010

Brian Simulator

GPU numerical simulation of spiking neural networks.

Python NumPy CUDA

Background

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2012

PhD École Normale Supérieure, Paris

Theoretical neuroscience and statistical analysis of neural data.

2008

Master internship Princeton University

Statistical analysis of retinal electrophysiological data.

2005

École Normale Supérieure Alumni

Math, physics, computer science.

Selected Academic Publications and Writings

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2025

IBL et al. "A brain-wide map of neural activity during complex behaviour." Nature.

2025

Findley et al. "Brain-wide representations of prior information in mouse decision-making." Nature.

2021

Rossant and Rougier. "High-performance interactive scientific visualization with datoviz via the Vulkan low-level GPU API." Computing in Science & Engineering.

2017

Jun et al. "Fully integrated silicon probes for high-density recording of neural activity." Nature.

2016

Rossant et al. "Spike sorting for large, dense electrode arrays." Nature Neuroscience.

2015

Rossant and Klein. "Data Visualization with WebGL." WebGL Insights.

2012

Rossant. "PhD thesis: computational role of neural correlations". École Normale Supérieure.

2011

Rossant et al. "Sensitivity of noisy neurons to coincident inputs." Journal of Neuroscience.

Teaching

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I've always been interested in teaching pure and applied mathematics, programming, scientific computing.

Programming

I wrote the first books on IPython/Jupyter, which focused on data analysis and visualization.

2018

IPython Cookbook, 2nd Edition

Practical recipes for high-performance numerical computing, visualization, and data analysis.

2015

IPython Mini-Book, 2nd Edition

A short introduction to Jupyter and the modern scientific Python for data analysis and visualization.

2014

IPython Cookbook, 1st Edition

Practical recipes for high-performance numerical computing, visualization, and data analysis.

2013

IPython Mini-Book, 1st Edition

A short introduction to Jupyter and the modern scientific Python for data analysis and visualization.

Math

I have a strong background in mathematics (calculus, differential analysis and geometry, probability, statistics, linear algebra, etc.) and enjoy teaching math to students and engineers.

2015

Awesome Math GitHub repo

Curated knowledge base to support advanced mathematics self-study.

2015

t-SNE tutorial

Illustrated introduction to dimensionality reduction for high-dimensional data.

2009

Math courses

Taught mathematics to students from Sciences Po, ENS, and university (L1–M1) in mathematics and computer science.

Pediatric Neurology & Criminal Justice

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Since a sudden personal event in 2016, I became interested in the scientific foundations of Shaken Baby Syndrome / Abusive Head Trauma (SBS/AHT), which are controversial and responsible for wrongful child removals, prosecutions, and criminal convictions.

Research

2025

Rossant, Schneps, and Sébire. "Shaken baby syndrome: a medical, scientific, and legal controversy." Preprint.

Applied Mathematics and Computation article cover

2024

Rossant and Schneps. "Statistical models of hospital patient fatality rates after accidental falls in children." Applied Mathematics and Computation.

Forensic Science International Synergy cover

2023

Rossant and Brook. "Why admitted cases of AHT make a low quality reference standard: a survey of people accused of AHT in France." Forensic Science International: Synergy.

2023

Findley, Rossant et al., eds. "Shaken baby syndrome: Investigating the abusive head trauma controversy." Cambridge University Press.

2021

Zahl et al. "Thrombosis is not a marker of bridging vein rupture in infants with alleged abusive head trauma." Acta Paediatrica.

Volunteering

I created nonprofit organizations to help affected families in France and worldwide.

ADIKIA France provides moral support groups for over 1,000 parents and caregivers who have been wrongfully accused of child abuse.

ADIKIA International unites families in many countries to counter wrongful medical allegations of child abuse and improve diagnostic practices with medical and legal experts.