Yves Sciama is a freelance science writer, trained in biology and science journalism, who covers life and environmental sciences. His work has appeared in Science et Vie, Le Monde and other major French-language media, as well as in Science. He has won multiple prizes and fellowships, including a yearlong Knight Science Journalism Fellowship at the Massachusetts Institute of Technology in 2014, and is former president of AJSPI, the French association of science journalists.
Yves Sciama
Contributing writer
From this contributor
At the end of the earth with Paul-Antoine Libourel
The French researcher’s accomplishments working with chinstrap penguins in the Antarctic highlight the importance of recording sleep in the wild.
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In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
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3 November 2026 | 9 min read
Prenatal pruning of neurons with copy number variants; and more
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Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
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Jill Adams
3 November 2026 | 2 min read
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
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