Ingfei Chen is a writer and editor in Northern California who likes telling stories about medicine, science and the environment. Her articles have published in The New York Times, Science, KQED Mindshift, Scientific American and Smithsonian, among others.
Ingfei Chen
Freelance writer
From this contributor
What baby siblings can teach us about autism
Studies of infants at risk for autism have not yielded a test to predict who will eventually be diagnosed. But they have transformed our understanding of the condition.
The gene hunters
Criss-crossing the globe on a quest for unusual DNA, researchers have discovered a rare mutation that promises insights into both epilepsy and autism — and points to a treatment.
Wide awake: Why children with autism struggle with sleep
Half of children who have autism have trouble falling or staying asleep, which may make their symptoms worse. Scientists are just beginning to explore what goes wrong in the midnight hour.
Wide awake: Why children with autism struggle with sleep
By
Ingfei Chen
7 October 2015 | 15 min read
Explore more from The Transmitter
Rise in autism prevalence but not traits; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 7 July.
Rise in autism prevalence but not traits; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 7 July.
By
Jill Adams
8 July 2025 | 2 min read
Drosophila, like vertebrates, filter sensory information during sleep
Predictive sensory processing in sleeping Drosophila echoes vertebrate research, establishing an evolutionarily conserved neural signature of sleep.
Drosophila, like vertebrates, filter sensory information during sleep
Predictive sensory processing in sleeping Drosophila echoes vertebrate research, establishing an evolutionarily conserved neural signature of sleep.
By
Siddhant Pusdekar
8 July 2025 | 5 min read
Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.
Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.
By
Benjamin Dichter
7 July 2025 | 6 min read