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
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
By
Jill Adams
16 June 2026 | 2 min read
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
By
Brian DePasquale
16 June 2026 | 17 min read
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
By
Rachel Parkinson
15 June 2026 | 7 min read