Liz Pellicano is professor of autism at University College London in the United Kingdom
Liz Pellicano
Director, Centre for Research in Autism and Education
University College London
From this contributor
We need better strategies to support autistic people as the COVID-19 crisis continues
Interviews with autistic people reveal that many miss their friends and opportunities for social connection, in stark contrast to orthodox views that they have little social motivation and prefer a life of self-isolation.
We need better strategies to support autistic people as the COVID-19 crisis continues
By
Liz Pellicano
8 September 2020 | 6 min read
General practitioners urgently need autism training
Many general practitioners in the United Kingdom do not receive autism training, and report having little confidence in caring for patients on the spectrum.
General practitioners urgently need autism training
By
Laura Crane, Liz Pellicano, The Conversation
17 May 2017 | 5 min read
Friendships pose unique challenges for women on the spectrum
Women with autism value friendships as much as their neurotypical peers do, but they often have difficulty forming and maintaining them.
Friendships pose unique challenges for women on the spectrum
By
Liz Pellicano, Felicity Sedgewick
16 May 2017 | 6 min read
Explore more from The Transmitter
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
By
Jill Adams
18 August 2026 | 1 min read
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
By
Katie Moisse
18 August 2026 | 7 min read
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
By
Alex Williams
17 August 2026 | 7 min read