Félix Therrien

My goal is to facilitate the discovery of functional materials that have the potential to mitigate climate change. To do so, I develop and use theoretical and machine learning models to simulate the physical properties of existing materials and to generate new materials. The objective is to quickly identify, in silico, the most promising materials to accelerate their synthesis in the lab.

I completed my doctorate in physics at Colorado School of Mines and the National Renewable Energy Laboratory in 2021 under the supervision of Prof. Vladan Stevanovic. There, I developed an algorithm that matches crystal structures together and used it to model solid state transitions and interfaces between crystals. I was also a postdoctoral researcher in AI-accelerated materials discovery at the University of Toronto under the supervision of profs. Oleksandr Voznyy and Ted Sargent. 

At Mila, I work in collaboration with Profs. Yoshua Bengio and David Rolnick on the discovery of better catalysts for converting CO2 into renewable fuels and materials for solid electrolyte batteries.