Emily Laber-Warren heads the health and science reporting program at the Craig Newmark Graduate School of Journalism at the City University of New York. She has been a staff editor at Popular Science, The Sciences, Scientific American Mind, and Women’s Health.
Emily Laber-Warren
From this contributor
Shafali Jeste: Early autism meets its match
Shafali Jeste has spent the bulk of her scientific career searching for biological markers of autism. Her goal: to improve lives through early diagnosis and speedy testing of therapies.
Shafali Jeste: Early autism meets its match
By
Emily Laber-Warren
30 November 2021 | 11 min read
The benefits of special interests in autism
Researchers are studying how the intense passions of autistic people shape the brain, improve well-being and enhance learning.
The benefits of special interests in autism
By
Emily Laber-Warren
12 May 2021 | 18 min read
How autism shapes sibling relationships
Having an autistic brother or sister can pose challenges, but it can also make children patient, empathetic and resilient.
Explore more from The Transmitter
The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
By
Giorgia Guglielmi
3 July 2026 | 7 min read
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
By
Brady Huggett
2 July 2026 | 42 min listen
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
By
Dalmeet Singh Chawla
1 July 2026 | 4 min read