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
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.