Emily writes frequently about autism and related issues, and her work has appeared in print or online at Discover, New York Times, Slate, Washington Post, San Francisco Chronicle, and others. Emily has a B.A. in English with minors in German and History and a Ph.D. in biological sciences, both from The University of Texas at Austin. She also completed postdoctoral work at the University of California, San Francisco and has taught graduate and undergraduate biology for many years.
Emily Willingham
Science writer
Spectrum
From this contributor
The legacy of Steve Silberman and his book, ‘NeuroTribes’
The writer’s empathic storytelling changed how society—and researchers—view autistic people.
The legacy of Steve Silberman and his book, ‘NeuroTribes’
Spotted around the web: Week of 29 October 2018
Here is a roundup of news and research for the week of 29 October.
Spotted around the web: Week of 29 October 2018
Book Review: A mother finds reward in risk
In “The Boy Who Loved Too Much,” a woman tries to cocoon her son, who has Williams syndrome, from life’s insults but later realizes her protective instincts carry dangers of their own.
Book Review: A mother finds reward in risk
Spotted around the web: Week of 22 October 2018
Here is a roundup of news and research for the week of 22 October.
Spotted around the web: Week of 22 October 2018
Spotted around the web: Week of 15 October 2018
Here is a roundup of news and research for the week of 15 October.
Spotted around the web: Week of 15 October 2018
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.
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. Seven 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. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
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.