Alán Aspuru-Guzik

Professor, University of Toronto

Alán Aspuru-Guzik’s research lies at the interface of computer science with chemistry and physics. He works on the integration of robotics, machine learning, and high-throughput quantum chemistry for the development of materials acceleration platforms. These “self-driving laboratories¨ promise to accelerate the rate of scientific discovery, with applications to clean energy and optoelectronic materials. Professor Aspuru-Guzik also develops quantum computer algorithms for quantum machine learning and has pioneered quantum algorithms for the simulation of matter. He is jointly appointed as a professor of Chemistry and Computer Science at the University of Toronto. Additionally, he is a faculty member of the Vector Institute for Artificial Intelligence. Previously, he was a full professor at Harvard University, where he started his career in 2006. Professor Aspuru-Guzik is currently the Canada 150 Research Chair in Quantum Chemistry as well as a CIFAR AI Chair at the Vector Institute. Among other awards, Professor Aspuru-Guzik is a recipient of the Google Focused Award in Quantum Computing, the MIT Technology Review 35 under 35, and the Sloan and Camille and Henry Dreyfus Fellowships. A fellow of the American Association of the Advancement of Science and the American Physical Society, he is also a cofounder of Zapata Computing and Kebotix, two early-stage ventures in quantum computing and self-driving laboratories, respectively.