Accelerating Discovery with Self-Driving Laboratories

Alán Aspuru-Guzik, University of Toronto; Cofounder of Kebotix and Zapata Computing

MIT Technology Review's David Rotman speaks with Alán Aspuru-Guzik on the potential for AI to revolutionize scientific discovery.

Alán Aspuru-Guzik, Professor of Chemistry and Computer Science, University of Toronto; Cofounder of Kebotix and Zapata Computing

Alán Aspuru-Guzik is professor of chemistry and computer science at the University of Toronto and cofounder of the startups Kebotix and Zapata Computing. He is also on the faculty of the Vector Institute for Artificial Intelligence, an independent, not-for-profit corporation dedicated to research in the field of AI. Before joining the University of Toronto, Alán was a professor at Harvard University. Alán’s research lies at the interface of computer science, chemistry, and physics. He works in the integration of robotics, machine learning, and high-throughput quantum chemistry to develop materials acceleration platforms. Alán also develops algorithms for quantum machine learning and has pioneered quantum algorithms for the simulation of matter. He holds a bachelor’s degree in chemistry from the National Autonomous University of Mexico and a PhD in physical chemistry from UC Berkeley.


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