Brian Lee is associate professor of epidemiology and biostatistics at Drexel University in Philadelphia.
Brian Lee
Associate professor
Drexel University
From this contributor
Journal club: Does lithium in drinking water contribute to autism?
A study published in JAMA Pediatrics suggests that autism is more common among people born in areas with high levels of lithium in drinking water, but it is too soon to say whether prenatal lithium exposure is truly a concern.
Journal club: Does lithium in drinking water contribute to autism?
By
Brian Lee
11 April 2023 | 7 min read
Autism heritability: It probably does not mean what you think it means
The question of autism's heritability is compelling for researchers and laypeople alike, but many people in both groups misunderstand its definition.
Autism heritability: It probably does not mean what you think it means
By
Brian Lee
7 January 2020 | 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