Katharine Gammon is an award-winning independent science journalist based in Santa Monica, California. Her work has appeared in The New York Times, The Atlantic, WIRED, The Guardian, Undark, Popular Science, MIT Technology Review, Nature, Hakai and beyond.
Katharine Gammon
From this contributor
Spotted around the web: Mapping histones; COVID-19 births; acetaminophen lawsuits
Here is a roundup of news and research for the week of 31 October.
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
A mix of common and rare variants shapes autism inheritance patterns
The study also reveals a link between language development and common variants.
A mix of common and rare variants shapes autism inheritance patterns
By
Katharine Gammon
4 November 2022 | 3 min read
Zebrafish point to new gene involved in brain overgrowth, autism
The gene, YTHDF2, has not previously been linked to autism.
Zebrafish point to new gene involved in brain overgrowth, autism
By
Katharine Gammon
1 November 2022 | 3 min read
Lags in genetic testing, variant reporting hinder autism research
Few autistic people undergo the recommended genetic testing for their condition, and test results often do not make their way into public databases, where researchers and clinicians can learn from them.
Lags in genetic testing, variant reporting hinder autism research
By
Katharine Gammon
28 October 2022 | 4 min read
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Francisco J. Rivera Rosario, David Sussillo
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Leucovorin, long-read sequencing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 16 March.
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Here is a roundup of autism-related news and research spotted around the web for the week of 16 March.
By
Jill Adams
17 March 2026 | 2 min read
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
By
Amy Kuceyeski
16 March 2026 | 0 min watch