Mayada Elsabbagh

Assistant Professor
McGill University

Mayada Elsabbagh is associate professor of neurology and neurosurgery at the Montreal Neurological Institute at McGill University in Canada. Her research focuses on understanding the root causes of autism and tracing its developmental pathways. The approach combines innovative research with the mission of accelerating the translation of scientific discoveries into community impact. Elsabbagh’s contributions include the discovery of early brain-function markers for autism prior to the onset of behavioral signs. She has supported the successful launch of several collaborative research and translational networks aimed at accelerating the pace of discovery in autism. This includes the Transforming Autism Care Consortium, a Québec research network supported by the Fonds de recherche du Québec-Santé and several community partners. She is also active in global efforts to improve evidence-based practice in the community and capacity-building in low- and middle-income countries. The public value and social relevance of Elsabbagh’s research has been recognized through various awards, including the Neville Butler Memorial Prize and the British Psychological Society Neil O’Conner Prize.

From this contributor

Explore more from The Transmitter

By clicking to watch this video, you agree to our privacy policy.

Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence

Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.

By Paul Middlebrooks
18 December 2024 | 97 min listen

In memoriam: Yves Frégnac, influential and visionary French neuroscientist

Frégnac, who died on 18 October at the age of 73, built his career by meeting neuroscience’s complexity straight on.

By Bahar Gholipour
18 December 2024 | 9 min read
Illustration shows a solitary figure moving through a green and blue field of dots moving at different rates.

Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng

The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.

By Claudia López Lloreda
17 December 2024 | 8 min read