Catherine Lord is distinguished professor of psychiatry and education at the University of California, Los Angeles. She specializes in diagnosis, social and communication development, and intervention in autism.
Catherine Lord
Director, Center for Autism and the Developing Brain
Weill Cornell Medicine
From this contributor
Your questions about the Lancet Commission and ‘profound autism,’ answered
Tony Charman and Catherine Lord answer questions from Spectrum’s webinar on the Lancet Commission’s recommendations for autism research.
Your questions about the Lancet Commission and ‘profound autism,’ answered
By
Spectrum
15 February 2022 | 6 min read
Catherine Lord: Lessons from a storied career in autism research
Catherine Lord's career has been defined by relationships: with mentors, protegees and, above all, with autistic people and their families.
Catherine Lord: Lessons from a storied career in autism research
By
Catherine Lord
3 December 2019 | 6 min read
Measures of success for adults with autism need to mature
As children with autism grow into adults, the challenge is in measuring the skills that matter most in their daily lives.
Measures of success for adults with autism need to mature
By
Catherine Lord
17 November 2015 | 5 min read
Optimal outcome
Some children classified as having autism outgrow their diagnosis, but it’s not yet clear why this group does better, says Cathy Lord.
Autism and the arts: “Lucy” captures disorder‘s complexity
Itʼs not often that movies, books and plays represent science accurately, or with a true and empathetic understanding of its complexity.
Autism and the arts: “Lucy” captures disorder‘s complexity
By
Catherine Lord
28 January 2008 | 5 min read
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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
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
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20 May 2025 | 2 min read
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.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
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19 May 2025 | 7 min read