Chemistry is one of humanity’s oldest scientific pursuits, while quantum computing and AI are emerging and potentially world-changing fields. Mixing them together is what leads to disruptive innovation.

Alán Aspuru-Guzik is charting a new course for innovation in robotics, renewable energy and AI through his research at the interfaces of quantum information, chemistry and machine learning.

Join us in-person or virtually on October 11 for a discussion on disruptive innovation and the opportunities it creates in advancing our society and future technologies.

Alán Aspuru-Guzik is a Lebovic Fellow in CIFAR’s Bio-Inspired Solar Energy program, a Canada CIFAR AI Chair at the Vector Institute, a Massey Fellow, and a professor at the department of chemistry and computer science at the University of Toronto, where he directs the Acceleration Consortium, building self-driving labs that combine material science with the power of artificial intelligence, robotics, and advanced computing including quantum to rapidly design and test new materials and molecules.