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
The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.