Dr Layton joined the University of Waterloo in 2018. Before then, she held the position of the Robert R. and Katherine B. Penn Professor of Mathematics, and Professor of Biomedical Engineering and Medicine at Duke University. She is the Deputy Editor of the American Journal of Physiology–Renal Physiology, Associate Editor of SIAM Review Book Section, and Associate Editor of the SIAM Journal on Applied Dynamical Systems. She also serves as the Associate Dean, Research and International, for the Faculty of Mathematics, and chairs the Research Equity, Diversity and Inclusion Council at the University of Waterloo.
Anita Layton
From this contributor
Early-detection technique analyzes how children with autism scan faces
Researchers at the University of Waterloo in Ontario, Canada, have developed a new autism detection technique that distinguishes among different eye-gaze patterns to help doctors more quickly and accurately detect autism in children.
Early-detection technique analyzes how children with autism scan faces
By
Anita Layton, Mehrshad Sadria, The Conversation
6 August 2019 | 4 min read
Explore more from The Transmitter
New projectome captures ‘complex beast’ of serotonin system in mice
The whole-brain map—the first of its kind in a vertebrate—identifies five distinct neuron groups.
New projectome captures ‘complex beast’ of serotonin system in mice
The whole-brain map—the first of its kind in a vertebrate—identifies five distinct neuron groups.
By
Madeline Shaw
2 October 2026 | 0 min watch
Silent, motion-resistant fMRI expands scans in behaving mice
The method, called SORDINO, captures brain images in animals while they move and interact.
Silent, motion-resistant fMRI expands scans in behaving mice
The method, called SORDINO, captures brain images in animals while they move and interact.
By
Diana Kwon
2 October 2026 | 5 min read
Autism-linked variants converge on two molecular patterns in mouse brains
Gene activity across 17 autism mouse models occurs in either of two opposing transcriptomic states, supporting the idea that diverse genetic changes may converge on a few recurring biological patterns.
Autism-linked variants converge on two molecular patterns in mouse brains
Gene activity across 17 autism mouse models occurs in either of two opposing transcriptomic states, supporting the idea that diverse genetic changes may converge on a few recurring biological patterns.
By
Giorgia Guglielmi
1 October 2026 | 4 min read