Rotman School of Management, University of Toronto

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Brian Keng

Brian Keng

Brian Keng

Adjunct Professor & Executive-in-Residence, Data Science

Degrees:

PhD in Electrical and Computer Engineering, University of Toronto
MASc in Electrical and Computer Engineering, University of Toronto
BASc in Electrical and Computer Engineering, University of Waterloo

Bio

Brian Keng is the Chief Data Scientist at Kinaxis Inc and an Adjunct Professor in Data Science at the Rotman School of Management, University of Toronto. At Kinaxis, he leads the AI and machine learning group to build intelligent decision automation solutions to solve enterprise supply chain problems.  At Rotman, he plays a key role in shaping data science education and research through his work with the TD Management Data and Analytics Lab and the Master of Management Analytics program, and by working directly with faculty and students.

Brian's primary professional focus revolves around building scalable AI and machine learning systems to provide robust solutions to core business problems.  His research interests include Bayesian statistics, probabilistic frameworks for deep learning, and applications of AI to drive automated decision making.  He has numerous peer-reviewed publications on industrial applications of AI and holds several patents in his name.

Before joining Kinaxis, Brian was the Chief Data Scientist at Rubikloud Technologies Inc (and he was part of the founding team that led the company to a successful acquisition by Kinaxis).  Prior to Rubikloud, he held various positions ranging from technical lead to data scientist to developer at a wide range of technology companies.  Brian earned his PhD and MASc in Electrical and Computer Engineering from the University of Toronto and his BASc in Electrical and Computer Engineering from the University of Waterloo.

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