Guillaume Dumas, Associate Professor of Computational Psychiatry, has been named by The Peak as one of the emerging leaders in the health category.

Guillaume Dumas, an Associate Professor of Computational Psychiatry, also features on The Peak's list of emerging leaders, recognized among 23 leaders in the health category.

The 39-year-old scientist is the principal investigator at the Precision Psychiatry and Social Physiology Laboratory at the CHU Sainte-Justine Research Center, affiliated with UdeM.

He also holds the IVADO Chair "AI in Mental Health," a Junior 1 research fellowship in "AI and Digital Health" from the Fonds de recherche du Québec, and is an academic member of Mila - Quebec Artificial Intelligence Institute.

In 2023, Dumas was acknowledged as an Azrieli Global Scholar by CIFAR within the "Brain, Mind, and Consciousness" program and was named a future brain research leader by Brain Canada Foundation.

On his recognition by The Peak, he said: "I am deeply honored to receive this nomination as an emerging leader in health, but above all to find myself among such inspiring figures who are making a significant contribution to Canada's future."

Dumas previously held a research position in neuroscience and computational biology at the Pasteur Institute in Paris, France, and was a postdoctoral researcher at the Center for Complex Systems and Brain Sciences at Florida Atlantic University, Boca Raton.

He started his new role in Montreal in fall 2020.

"The support I have received since my arrival at the Université de Montréal has been extraordinary, and I am incredibly grateful," he said. "The recognition by The Peak is a testament to the collaborative efforts and the spirit of innovation that characterizes our community."

In his research, Dumas focuses on the neural foundations of human social cognition, exploring the biological, psychological, and social facets of the human mind. By combining computational psychiatry, precision medicine, and neuro-inspired AI, he aims to develop a more personalized and predictive approach to psychiatry and mental health.

This content has been updated on 27 March 2024 at 2 h 58 min.