Zachary J. Williams
M.D./Ph.D. student
Vanderbilt University
From this contributor
Designing autism-friendly trials: Q&A with Caroline Averius and Zachary Williams
The pair’s new guidebook offers practical steps to make clinical trials easier and more meaningful for autistic participants.
Designing autism-friendly trials: Q&A with Caroline Averius and Zachary Williams
A new hub for participatory research: Q&A with Zachary Williams
Last month, the International Society for Autism Research launched the INSAR Community Collaborator Request (ICCR), an online forum to foster collaborations between autistic people and autism researchers. Its creator, Zachary Williams, explains how researchers can make the most of this new resource.
A new hub for participatory research: Q&A with Zachary Williams
Measuring alexithymia in autistic people
Despite the growing interest in alexithymia in autism research, the tools commonly used to measure this trait may not work reliably in autistic populations. A new scoring method fills that gap.
Measuring alexithymia in autistic people
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Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.