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
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.