Amy Gravino is a certified autism specialist and professional public speaker and writer whose work focuses on sex and sexuality among autistic people. As founder and president of A.S.C.O.T. Consulting, she offers autism consulting and college coaching services for individuals on the spectrum, mentoring services for young adults with autism, and professional presentations for conferences, autism events, schools and professional development workshops. She has an M.A. in applied behavior analysis from Caldwell University in New Jersey. Gravino is working on a book, “The Naughty Autie,” a memoir of her experiences with relationships as a woman on the autism spectrum.

Amy Gravino
Autism consultant
From this contributor
Why it’s time to be honest about autistic women and sex
Misinformation about autistic women and sex is common in the scientific community. A study published this year is a case in point.

Why it’s time to be honest about autistic women and sex
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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.