Uta Frith studied experimental psychology at the Universität des Saarlandes, Saarbrücken and trained in clinical psychology at the University of London’s Institute of Psychiatry She completed her Ph.D. thesis on autism in 1968 and from then on has worked as a research scientist funded mainly by the Medical Research Council UK. She has been Visiting Professor at the University of Aarhus, Denmark from 2007-2015. She is now Emeritus Professor of Cognitive Development at the UCL Institute of Cognitive Neuroscience.
Autism and dyslexia have been her main focus of research. In both fields she has pioneered an experimental neuropsychological approach. She has contributed some of the major theories explaining these disorders and has identified specific deficits in underlying cognitive mechanisms and their basis in the brain. She has published some 250 papers and books, and in 2014 she was listed by the APA as among the 200 most eminent psychologists of the modern era.
In the last few years she has increased her work in science communication, and in championing women in science.
Uta Frith
From this contributor
London as a crucible for autism in the 1950s
Autism pioneer Uta Frith reminisces about dramatic shifts in British researchers’ understanding of autism that effectively ended the institutionalization of children with the disorder.
Intense world theory raises intense worries
The ‘intense world theory’ of autism, which has attracted much interest from the popular press, has received very little academic scrutiny. Uta Frith and Anna Remington ask: Is it as positive as it purports to be, and what does it mean for autism?

Intense world theory raises intense worries
Uta Frith: Why I am obsessed with this cognitive thing
No matter which of the numerous genetic and environmental risk factors has caused autism, the part of the system that is always affected is most likely to be found at the cognitive level, argues Uta Frith, a leader in the field of cognitive neuroscience.

Uta Frith: Why I am obsessed with this cognitive thing
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Sharing Africa’s brain data: Q&A with Amadi Ihunwo
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Cortical structures in infants linked to future language skills; and more
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The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
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The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.