Tom Chivers is a London-based science writer. He grew up in Oxford, before graduating from the University of Liverpool with a first-class degree in philosophy; he then took a Master’s degree at the King’s College London Centre of Medical Law and Ethics. He worked for the Daily Telegraph for seven years from 2007 to 2014, and was a science writer at BuzzFeed UK from 2015 to 2018. He has received several awards for his journalism, including the ‘Explaining the facts’ category in the Royal Statistical Society’s Statistical Excellence in Journalism awards, and was nominated for the British Journalism Award in science writing in 2017. His first book, The Rationalists: Artificial intelligence and the geeks who want to save the world, will be published by Weidenfeld & Nicolson in summer 2019.
Tom Chivers
From this contributor
Studying genetics in the age of big data
New biomedical techniques, like next-generation genome sequencing, are creating vast amounts of data and transforming the scientific landscape.

Studying genetics in the age of big data
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Long-standing theoretical neuroscience fellowship program loses financial support
Funding from the Swartz and Sloan Foundations helped bring physicists and mathematicians into neuroscience for more than 30 years.

Long-standing theoretical neuroscience fellowship program loses financial support
Funding from the Swartz and Sloan Foundations helped bring physicists and mathematicians into neuroscience for more than 30 years.
Altered excitatory circuits in CHD8-deficient mice; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 25 August.

Altered excitatory circuits in CHD8-deficient mice; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 25 August.
Should neuroscientists ‘vibe code’?
Researchers are developing software entirely through natural language conversations with advanced large language models. The trend is transforming how research gets done—but it also presents new challenges for evaluating the outcomes.

Should neuroscientists ‘vibe code’?
Researchers are developing software entirely through natural language conversations with advanced large language models. The trend is transforming how research gets done—but it also presents new challenges for evaluating the outcomes.