Cyrille Rossant

New paper on the scientific reliability of confessions of SBS/AHT


Chris Brook and I have just published an article in Forensic Science International: Synergy presenting the results of a survey of parents and caretakers who claim to have been wrongly accused of child abuse after a medical determination of shaken baby syndrome/abusive head trauma (SBS/AHT).

An Introduction to the Scientific Controversy over Shaken Baby Syndrome


The scientific controversy over the so-called Shaken Baby Syndrome (SBS) (also known, with a few key differences indicated later, as Abusive Head Trauma, AHT) is a rich and highly complex multifaceted topic.

It involves a wide range of academic disciplines: pediatrics, neonatology, obstetrics, neurology, neuropathology, radiology, hematology, evidence-based medicine, biomechanics, statistics, epidemiology, psychology, among others. There are also ramifications in epistemology, medical ethics, criminal law, sociology...

Datoviz: ultra-fast GPU scientific visualization with Vulkan


I'm excited to present the project I've been working on at the International Brain Laboratory (IBL). Datoviz is an early-stage open-source high-performance GPU scientific visualization library based on Vulkan, the Khronos cross-platform low-level graphics API, which is 5 years old today!

Datoviz screenshots

Datoviz aims at providing a unified, language-agnostic platform for interactive visualization in both 2D and 3D, with support for GUIs and general-purpose GPU compute.

Joining the International Brain Laboratory


International Brain Laboratory I have joined the International Brain Laboratory, a virtual laboratory gathering 21 neuroscience teams around the world. Half of the researchers are experimentalists, collecting data in the same experimental conditions, while the other half are theoreticians, analyzing the data. I'm working on the data architecture group allowing experimenters to organize and store their data, and theoreticians to make detailed queries for their analysis.

Writing the IPython Cookbook, Second Edition


IPython Cookbook, Second Edition I'm pleased to announce the release of the IPython Cookbook, Second Edition, more than three years after the first edition. All 100+ recipes have been updated to the latest versions of Python, IPython, Jupyter, and all of the scientific packages.

There are a few new recipes introducing recent libraries such as Dask, Altair, and JupyterLab. As usual, all of the code is available on GitHub as Jupyter notebooks.

However, the main novelty is that almost the entire book is now freely available on GitHub. The released text is available under the CC-BY-NC-ND license, while the code is under the MIT license. A few recipes are exclusive to the printed book and ebook, to be purchased on Packt and Amazon.

The writing process was much less painful than with the first edition. In this post, I'll give an overview of the technical process I've used to write the book, using Markdown, Jupyter Notebook, pandoc, and pelican.