
Datoviz
C/Python library for high-performance, scalable interactive scientific visualization.
Senior Neuroscience Research Software Engineer with 30+ years of programming experience
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.
My current projects mainly focus on developing visualization applications for IBL data.
C/Python library for high-performance, scalable interactive scientific visualization.
Web app for visualization of IBL data.
Web app for exploration of the IBL electrophysiology atlas of the mouse brain.
Numerical integration of partial differential equations on GPU for 3D visualization purposes.
Lossless compression of raw electrophysiological recordings.
GUI for manual curation of dense multichannel electrophysiological recordings (Neuropixels).
Database and web-based interface for mouse colony management and complex data storage and access.
GPU numerical simulation of spiking neural networks.
Theoretical neuroscience and statistical analysis of neural data.
Statistical analysis of retinal electrophysiological data.
Math, physics, computer science.
I've always been interested in teaching pure and applied mathematics, programming, scientific computing.
I wrote the first books on IPython/Jupyter, which focused on data analysis and visualization.
Practical recipes for high-performance numerical computing, visualization, and data analysis.
IPython Mini-Book, 2nd Edition
A short introduction to Jupyter and the modern scientific Python for data analysis and visualization.
Practical recipes for high-performance numerical computing, visualization, and data analysis.
IPython Mini-Book, 1st Edition
A short introduction to Jupyter and the modern scientific Python for data analysis and visualization.
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.
Taught mathematics to students from Sciences Po, ENS, and university (L1–M1) in mathematics and computer science.
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.
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.