OpenBITS is the control layer for workflows institutions cannot afford to get wrong. Every action carries its own controls and its own evidence. The same layer lets AI request tools without becoming the authority, and gives institution-led tokenization a record it can verify.
Quantitative risk, structured credit, and banking AI, including published credit-risk research. Owns financial workflow design and institutional delivery.
Associate Professor at the University of British Columbia and blockchain research chair. Owns secure execution, verification, and the control layer.
SVP (Retired) of Global Risk Analytics & Cybersecurity at Scotiabank. Provides the institutional playbook for tier-1 bank quantitative finance and risk-modelling systems.
Professor of Operations Research at the University of Toronto. Guides the development of the platform's portfolio-optimization and securitization engines.
Synthetic or anonymized data is enough on day one.
Toronto · Vancouver
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