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
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.
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.

This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.
Autism and anxiety insights; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 September.

Autism and anxiety insights; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 September.