Alán Aspuru-Guzik
  • Professor, Department of Chemistry, Faculty of Arts & Science, University of Toronto

    Professor, Department of Computer Science, Faculty of Arts & Science, University of Toronto (Cross-Appointment)

    Faculty Member, Vector Institute

    Canada CIFAR Artificial Intelligence Chair

    Director, Acceleration Consortium

    Canada 150 Research Chair in Theoretical & Quantum Chemistry

    Website | Google Scholar

Research Interests

  • Robotics
  • Machine learning
  • High-throughput quantum chemistry
  • Quantum computing


Alán Aspuru-Guzik’s research lies at the interface of computer science with chemistry 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. 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.


  • Canada 150 Research Chair in Theoretical and Quantum Chemistry
  • Google Focus Research Award in Quantum Computing
  • CIFAR Senior Fellow, Biologically-Inspired Solar Energy Program
  • MIT Technology Review 35 under 35
  • Alfred P. Sloan Fellow
  • Elected Fellow of the American Association for the Advancement of Science
  • Fellow of the American Physical Society
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