Richard Bethlehem is a postdoctoral fellow and research associate at the Autism Research Centre and Brain Mapping Unit at the University of Cambridge in the United Kingdom. He studies integrated neuroimaging and transcriptomics to gain better understanding of the biological underpinnings of typical and atypical neurodevelopment.
Richard Bethlehem
Research associate
University of Cambridge
From this contributor
Q&A with Richard Bethlehem: What goes into a Brainhack
Brainhack conferences offer talks and hands-on tutorials, and unite small groups of interdisciplinary researchers to work on open-source neuroscience projects.
Q&A with Richard Bethlehem: What goes into a Brainhack
By
Niko McCarty
9 July 2021 | 7 min read
How normative modeling can reframe autism’s heterogeneity
Normative modeling could capture variability among autistic people and allow for individualized assessments.
How normative modeling can reframe autism’s heterogeneity
By
Richard Bethlehem, Andre F. Marquand
25 February 2020 | 4 min read
Explore more from The Transmitter
Cortical evolution, ZBTB18, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 30 March.
Cortical evolution, ZBTB18, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 30 March.
By
Jill Adams
31 March 2026 | 2 min read
Letter asks Congress for nearly $500 million to sustain BRAIN Initiative
The one-time boost would help counter the planned end this year to one of the program’s long-standing funding streams, which will result in a $195 million drop in funding for fiscal year 2027.
Letter asks Congress for nearly $500 million to sustain BRAIN Initiative
The one-time boost would help counter the planned end this year to one of the program’s long-standing funding streams, which will result in a $195 million drop in funding for fiscal year 2027.
By
Angie Voyles Askham
31 March 2026 | 3 min read
How to teach programming in the age of AI
Scientists and educators are concerned about students using artificial intelligence to shortcut their learning. But there are also opportunities, especially when it comes to teaching neuroscience students how to code.
How to teach programming in the age of AI
Scientists and educators are concerned about students using artificial intelligence to shortcut their learning. But there are also opportunities, especially when it comes to teaching neuroscience students how to code.
By
Ashley Juavinett
30 March 2026 | 8 min read