Somer Bishop is a clinical psychologist and professor in residence of psychiatry at the University of California, San Francisco.

Somer Bishop
Assistant professor
University of California, San Francisco
From this contributor
Rethinking autism assessments in the time of COVID-19: Q&A with Bishop, Zwaigenbaum
Moving most clinical assessments online during the coronavirus pandemic has created a digital divide while closing some geographical ones, say Somer Bishop and Lonnie Zwaigenbaum.

Rethinking autism assessments in the time of COVID-19: Q&A with Bishop, Zwaigenbaum
Questions for Bishop, Havdahl: Tantrums trick autism tests
Children with low intelligence or behavioral issues — but not autism — may meet the criteria for autism on standard diagnostic tests.

Questions for Bishop, Havdahl: Tantrums trick autism tests
Seeking precise portraits of girls with autism
Researchers need to consider new ways of capturing how autism manifests in girls, who may find clever ways of camouflaging their symptoms.
Gauging intelligence in autism over time
Adapting traditional tests of intelligence for people with intellectual disability can deflate their scores over time. Somer Bishop calls for tests that more accurately assess intelligence in this group.
Explore more from The Transmitter
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.