Machine Learning for Accelerated Materials Discovery - Department of Mechanical & Industrial Engineering

Tuesday, July 18, 2017-Tuesday, July 25, 2017
10:00am-12:00pm

Bahen Centre
40 St. George Street

Machine learning and artificial intelligence have spurred transformative changes in the technology sector in recent years. Industrial applications such as drug discovery, autonomous driving, and materials design are poised to benefit from this research acceleration.

Please join us for a three-part limited edition CIFAR seminar series, Machine Learning for Accelerated Materials Discovery, on July 18, 24, and 25, co-hosted by the Departments of Computer Science and Electrical & Computer Engineering.

Our speakers are pioneers at the intersection of machine learning and materials discovery.

Richard Martin | IBM Watson Research Scientist
July 18, 10 am, BA1190
Team leader for natural language processing in the Watson for Drug Discovery product team.
Bryce Meredig | Cofounder, Citrine Informatics
July 24, 10am, BA1210
Cofounder/CSO of Citrine informatics, a silicon valley startup using large-scale data mining to accelerate materials development.
Brian Storey | Toyota Research Institute
July 25, 10am, BA1190
ML Research lead at the newly established Toyota Research Institute.

Traditional Land Acknowledgement

We wish to acknowledge this land on which the University of Toronto operates. For thousands of years it has been the traditional land of the Huron-Wendat, the Seneca, and the Mississaugas of the Credit. Today, this meeting place is still the home to many Indigenous people from across Turtle Island and we are grateful to have the opportunity to work on this land.