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Alán Aspuru-Guzik is a professor in the Department of Chemistry and the Department of Computer Science at the University of Toronto. He holds the Canada 150 Research Chair in Theoretical Chemistry and serves as a CIFAR AI Chair at the Vector Institute for Artificial Intelligence. He is also the director of the Acceleration Consortium at the University of Toronto. Aspuru-Guzik previously held a full professorship at Harvard University from 2013 to 2018, having begun his independent academic career there in 2006. He earned a B.Sc. from the National Autonomous University of Mexico in 1999 and a Ph.D. from the University of California, Berkeley in 2004, followed by a postdoctoral fellowship at Berkeley from 2005 to 2006.
Aspuru-Guzik conducts research at the interfaces of quantum information, machine learning, and chemistry. His work includes the development of algorithms and experimental implementations of quantum computers and quantum simulators for chemical systems, studies of quantum coherence in photosynthetic complexes, and the acceleration of molecular discovery through calculations of organic semiconductors, photovoltaics, batteries, and light-emitting diodes. He has advanced molecular representations and generative models for learning molecular properties and is focused on automation and autonomous chemical laboratories. Among his recognitions are the Google Focused Award for Quantum Computing, the Sloan Research Fellowship, the Camille and Henry Dreyfus Teacher-Scholar Award, the Heinrich Emanuel Merck Award for Innovations in the Computational Sciences in 2025, the MIT Technology Review TR35 innovator selection, and the American Chemical Society Early Career Award in Theoretical Chemistry. He is an elected fellow of the Royal Society of Canada (class of 2025), the American Physical Society, and the American Association for the Advancement of Science. Aspuru-Guzik is editor-in-chief of the journal Digital Discovery.
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