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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Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.