Skomorowsky is a clinical instructor in psychiatry at the NYU Grossman School of Medicine and an attending psychiatrist at NYU Langone Hospital. Her writing has appeared in the New York Times, the Washington Post, the Wall Street Journal, Scientific American, and Slate.

Anne Skomorowsky
Clinical instructor
New York University
From this contributor
A whisper of autism: Fragile X carriers and the autism phenotype
Among people who carry the fragile X premutation, about 14 percent of boys and 5 percent of girls meet the criteria for autism, but the ‘broad autism phenotype’ may be far more common.

A whisper of autism: Fragile X carriers and the autism phenotype
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Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.

Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.

Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.

The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.