I’m a researcher in computational cognitive neuroscience at Inria and the Institute of Neurodegenerative Diseases (Bordeaux, France). I’m investigating decision making, learning and cognition using computational models of the brain and distributed, numerical and adaptive computing, a.k.a. artificial neural networks and machine learning. My research aims to irrigate the fields of philosophy with regard to the mind-body problem, medicine to account for the normal and pathological functioning of the brain and the digital sciences to offer alternative computing paradigms.

Beside neuroscience and philosophy, I’m also interested in open and reproducible science (I’ve co-founded ReScience C with Konrad Hinsen and wrote the article Transforming Code into Scientific Contribution), scientific visualization (I’ve created glumpy, co-created VisPy and authored the popular Ten Simple Rules for Better Figures article), Science outreach (e.g. Why your cat is lousy at chess?) and computer graphics (especially digital typography).

From Python to Numpy A book on Numpy concentrating on the migration from Python to Numpy through vectorization. There are a lot of techniques that you don't find in books and such techniques are mostly learned through experience. The goal of this book is to explain some of these techniques and to provide an opportunity for making this experience in the process.

Scientific Visualization: Python & Matplotlib An open access book on scientific visualization using Python and Matplotlib to be released in 2020. Sources will be available, the PDF will be open-access and the printed book will cost 50$. You can support the book or sponsor me.