Nicholette Zeliadt manages The Transmitters’s staff reporters and interns, and she commissions and edits news articles. She joined The Transmitter as news writer in 2014. Before that, she was a freelance writer and editor. Her work has appeared in The New York Times, Scientific American, Nature Medicine, Science and The Scientist.
Nicholette Zeliadt
Managing editor
The Transmitter
From this contributor
Leaving lasting marks with Tessa Montague
By
Nicholette Zeliadt
9 February 2024 | 7 min read
Spotted around the web: INSAR; cerebellar gene expression; pangenome
By
Jill Adams, Giorgia Guglielmi, Nicholette Zeliadt, Kristin Ozelli
12 May 2023 | 4 min read
Spotted around the web: Mapping histones; COVID-19 births; acetaminophen lawsuits
By
Jill Adams, Katharine Gammon, Peter Hess, Nicholette Zeliadt
4 November 2022 | 3 min read
New diagnostic code for PTEN syndrome may spur research
By
Nicholette Zeliadt
3 October 2022 | 4 min read
Education
- Ph.D. in environmental health, University of Minnesota
- B.A. in biochemistry, University of Iowa
Fellowships
- AAAS Mass Media Fellowship
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