Brian Keng

Bio

Brian Keng is a Research Director at Borealis AI, a research centre created by Royal Bank of Canada, and an Adjunct Professor in Data Science at the Rotman School of Management, University of Toronto. At Borealis, he leads the incubator program building out innovative AI-enabled products and capabilities for the financial services industry.  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 Borealis, Brian was the Chief Data Scientist at Kinaxis Inc leading the machine learning department in building advanced AI-enabled supply chain solutions.  Prior to Kinaxis, he was the Chief Data Scientist at Rubikloud Technologies Inc, which was acquired by Kinaxis in 2020. Brian has also previously 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.