Lydia Hickman is a graduate student in the Cook Lab at the University of Birmingham in the United Kingdom. In her Ph.D. work, she explores the fundamental biological mechanisms underlying motor function and social cognition in the context of autism and Parkinson’s disease. Lydia co-founded the U21 Autism Research Network, an international collaboration among six research groups aiming to improve diversity and inclusion in autism research.
Lydia Hickman
Graduate student
University of Birmingham in the United Kingdom
From this contributor
Ways to make autism research more diverse and inclusive
Scientists must focus on the importance of representative study samples and of engaging with diverse autism community members.
Ways to make autism research more diverse and inclusive
By
Lydia Hickman
14 June 2022 | 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