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
Explore more from The Transmitter
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.