Lauren Gravitz is a freelance writer and editor in Hershey, Pennsylvania, who covers health, medicine, science and the environment. Her stories have appeared in Nature, Aeon, The Economist, Technology Review, O, The Oprah Magazine and Discover, among others.
Lauren Gravitz
Freelance Writer
From this contributor
A brief history of precision self-scanning
When a researcher solved a logistical problem by going rogue, the idea proved remarkably infectious.
A brief history of precision self-scanning
By
Lauren Gravitz
21 January 2026 | 13 min read
At the intersection of autism and trauma
Autism and post-traumatic stress disorder share many traits, but the connection between them was largely overlooked until now.
Autism’s drug problem
Many people on the spectrum take multiple medications — which can lead to serious side effects and may not even be effective.
Lack of DNA modification creates hotspots for mutations
The absence of a chemical alteration called methylation on some stretches of DNA makes them especially prone to mutations, according to a paper published in PLoS Genetics in May.
Lack of DNA modification creates hotspots for mutations
By
Lauren Gravitz
28 June 2012 | 4 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. Six 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. Six 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