About Borealis AI
Borealis AI supports RBC’s innovation strategy through fundamental scientific study and exploration in machine learning theory and applications. The team aims to develop state-of-the-art and supports open academic collaborations with world-class research centres in artificial intelligence.
Headquarters: Toronto, Ontario Canada
Lab Locations: Toronto, Ontario and Edmonton, Alberta
Dr. Foteini Agrafioti, Head, Borealis AI & Chief Science Officer
Dr. Agrafioti is the Chief Science Officer at RBC and Head of Borealis AI. She is responsible for RBC’s intellectual property portfolio in the fields of artificial intelligence and machine learning. Prior to joining Borealis AI, Foteini was the Chief Innovation Officer at Architech, where she led Research and Innovation. She also founded and served as Chief Technology Officer at Nymi, a biometrics security company and maker of the Nymi wristband.
Foteini is the inventor of HeartID, the first biometric technology to authenticate users based on their unique cardiac rhythms. She is a TED speaker and serves on the editorial review boards of several scientific journals. Foteini was named “Inventor of the Year” in 2012 at the University of Toronto where she received a Doctorate in Electrical and Computer Engineering and was named one of Canada’s “Top 40 Under 40” for 2017.
Gabriel Woo, Vice President of Innovation
Gabriel is Vice President of Innovation at RBC, driving RBC’s innovation agenda through R&D, partnerships, and engagement in the broader technology and startup communities. Gabriel was previously Vice President of Solution Acceleration and Managing Director of RBC’s Enterprise Strategy group.
Prior to joining RBC, Gabriel was a management consultant with McKinsey and Company in Toronto and Hong Kong, advising clients across Canada, US, UK, Greater China and southeast Asia. Gabriel has also worked at UBS Investment Bank, leading strategic change management across Asia Pacific.
Gabriel holds a M.Sc. in Management Science and Engineering from Stanford University, and a B.A.Sc. in Engineering Science from University of Toronto.
- Reinforcement Learning
- Natural Language Processing
- Information Retrieval
- Deep Learning
- High Performance Computing
- Unsupervised Learning
- Optimization in Machine Learning
- Time-Series Analysis