Alán Aspuru-Guzik is a Professor at the University of Toronto, with primary appointments in the Departments of Chemistry and Computer Science and cross-appointments in Chemical Engineering and Applied Chemistry, Materials Science and Engineering, and the Institute of Medical Science. He is Senior Director at NVIDIA Research, CIFAR AI Chair at the Vector Institute for Artificial Intelligence, Director of the Acceleration Consortium, and Co-Director of the CIFAR Accelerated Decarbonization program. His research centers on the integration of artificial intelligence, automation, and the natural sciences, with applications spanning functional materials, robotics, and quantum computing. He is Editor-in-Chief of the Royal Society of Chemistry journal Digital Discovery and Fellow of the Royal Society of Canada.

Alán began his independent career at Harvard University in 2006 and was a full professor there from 2013 to 2018. He received his B.Sc. from the National Autonomous University of Mexico (UNAM) in 1999 and his PhD from the University of California, Berkeley in 2004, where he joined as a postdoctoral fellow from 2005 to 2006.

Alán conducts research in the interfaces of quantum information, machine learning, and chemistry. He was a pioneer in the development of algorithms and experimental implementations of quantum computers and quantum simulators dedicated to chemical systems. He has studied the role of quantum coherence in the transfer of excitonic energy in photosynthetic complexes, and accelerated the discovery by calculating organic semiconductors, organic photovoltaic energy, organic batteries, and organic light-emitting diodes. He has worked on molecular representations and generative models for the automatic learning of molecular properties. Currently, Alán is interested in automation and “autonomous” chemical laboratories for accelerating scientific discovery.

Among other recognitions, he received the Schmidt Science AI2050 Senior Fellowship, Google Focused Award for Quantum Computing, the Sloan Research Fellowship, and the Camille and Henry Dreyfus Teacher-Scholar Award. He was the Winner of the Heinrich Emanuel Merck Award for Innovations in the Computational Sciences in 2025. Alán was selected as one of the best innovators under the age of 35 by the MIT Technology Review. He is an elected fellow of the American Physical Society, an elected fellow of the American Association for the Advancement of Science (AAAS), and received the Early Career Award in Theoretical Chemistry from the American Chemical Society. Alán appeared as one of the top 100 most powerful Canadians in 2024 by the Maclean’s Magazine under the AI Category.

Alán is the co-founder of  Zapata AI, Kebotix, Intrepid Labs, and Axiomatic AI.

See also  Alán’s profile at the Discover Research Portal at the University of Toronto for current media, research, and awards