Alán Aspuru-Guzik, University of Toronto
Bio: Alán Aspuru-Guzik’s research lies at the interface of chemistry with computer science and physics. He works in 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. Alán 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. He is a faculty member of the Vector Institute for Artificial Intelligence and a CIFAR Lebovic Fellow. Previously, he was a full professor at Harvard University. Alán is also a co-founder of Zapata Computing and Kebotix, two early-stage ventures in quantum computing and self-driving laboratories respectively.
Abstract: The Materials for Tomorrow, Today
Abstract to come.