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
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
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
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
Explore more from The Transmitter
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.