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
Explore more from The Transmitter
What is the future of organoid and assembloid regulation?
Four experts weigh in on how to establish ethical guardrails for research on the 3D neuron clusters as these models become ever more complex.
What is the future of organoid and assembloid regulation?
Four experts weigh in on how to establish ethical guardrails for research on the 3D neuron clusters as these models become ever more complex.
Insights on suicidality and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 8 December.
Insights on suicidality and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 8 December.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.