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
Explore more from The Transmitter
Robots marry natural neuroscience, experimental control to probe animal interactions
Faux fish and birds are helping researchers decipher some of the rules that govern schooling and squawking, among other social behaviors.

Robots marry natural neuroscience, experimental control to probe animal interactions
Faux fish and birds are helping researchers decipher some of the rules that govern schooling and squawking, among other social behaviors.
Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.

Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.
Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.

Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.