Dr. Kendra Thomson is an Associate Professor in the Department of Applied Disability Studies and a Doctoral-level Board Certified Behaviour Analyst. She completed a post-doctoral fellowship at York University with Dr. Jonathan Weiss, the CIHR Chair in Autism Spectrum Disorders Treatment and Care Research. Dr. Thomson earned her Ph.D. in Applied Behaviour Analysis from the University of Manitoba in 2011, her MA in Lifespan Development (Psychology) from Brock University in 2007, and her honours undergraduate degree in Psychology from the University of Manitoba in 2005.
Kendra Thomson
Associate Professor
heconversation.com/institutions/brock-university-1340
From this contributor
Training caregivers can help keep autistic children safe
Behavioral skills training helps ensure that people with autism not only understand a new safety skill but are able to perform it accurately.
Training caregivers can help keep autistic children safe
Explore more from The Transmitter
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. Seven 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. Seven 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.