Harvard Professor Alán Aspuru-Guzik Joins Vector Institute and University of Toronto
Alán Aspuru-Guzik, a distinguished professor from Harvard University, has relocated to Canada to join the Vector Institute for Artificial Intelligence and the University of Toronto. After twelve years at Harvard, where his research intersected computer science, chemistry, and physics, Aspuru-Guzik aims to revolutionize modern chemistry labs. He will establish The Matter Lab at the University of Toronto, holding joint appointments in the departments of chemistry and computer science. His mission involves creating self-driving chemical laboratories, or materials acceleration platforms, by integrating robotics, machine learning, and high-throughput quantum chemistry. This approach seeks to accelerate the discovery of new molecules and materials to address critical global challenges such as water pollution, energy needs, and battery technology. Recently honored with a Canada 150 Research Chair in Theoretical & Quantum Chemistry, Aspuru-Guzik emphasizes the necessity of AI and robotics to move beyond slow improvements in chemistry. Richard Zemel, Director of Research at the Vector Institute, highlighted the excitement of combining Aspuru-Guzik’s expertise in quantum computing and chemistry with Vector’s machine learning capabilities, fostering a world-leading research ecosystem in Toronto.
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Harvard Professor Alán Aspuru-Guzik Joins Vector Institute and University of Toronto
Alán Aspuru-Guzik, a distinguished professor from Harvard University, has relocated to Canada to join the Vector Institute for Artificial Intelligence and the University of Toronto. After twelve years at Harvard, where his research intersected computer science, chemistry, and physics, Aspuru-Guzik aims to revolutionize modern chemistry labs. He will establish The Matter Lab at the University of Toronto, holding joint appointments in the departments of chemistry and computer science. His mission involves creating self-driving chemical laboratories, or materials acceleration platforms, by integrating robotics, machine learning, and high-throughput quantum chemistry. This approach seeks to accelerate the discovery of new molecules and materials to address critical global challenges such as water pollution, energy needs, and battery technology. Recently honored with a Canada 150 Research Chair in Theoretical & Quantum Chemistry, Aspuru-Guzik emphasizes the necessity of AI and robotics to move beyond slow improvements in chemistry. Richard Zemel, Director of Research at the Vector Institute, highlighted the excitement of combining Aspuru-Guzik’s expertise in quantum computing and chemistry with Vector’s machine learning capabilities, fostering a world-leading research ecosystem in Toronto.
Vector Institute for Artificial Intelligence