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Combiz Abdolrahimi is an attorney, technologist, and former regulator/policymaker with over 14 years of public and private sector experience helping U.S. Federal, State, and international governments, and health agencies. His expertise and experience includes (1) accelerate the adoption and integration of new, innovative, and emerging technologies to increase productivity, efficiency, and positive outcomes to serve the public better and achieve mission impact at scale; and (2) shape the business, policy, legal, regulatory, ethical, & technical development of emerging technologies such as artificial intelligence & machine learning, blockchain & distributed ledger technology, 5G/digital & next-generation communication technologies, telemedicine & telehealth technologies, digital identity & access management. He has successfully operationalized & scaled data-driven and technology-powered systems in the U.S. & around the world. 

Combiz has extensive public and private sector innovation expertise, serving as a trusted advisor, lawyer, technologist, policy advisor, & regulator for 3 U.S. Presidents & Cabinet Secretaries at the U.S. Departments of State, Treasury, The White House & U.S. Senate. He has interfaced with C-suite executives & leaders from 100 countries, working in coordination with U.S. leadership to help set policies & priorities, and receiving commendations from Republican & Democratic leadership. He has served on multiple boards and committees, including the White House National Science and Technology Council (NSTC) Machine Learning & Artificial Intelligence Subcommittee, World Health Organization (Geneva), OECD (Paris) AI & Blockchain Expert Policy Advisory Board, U.S. Federal Identity Forum, and the U.S. Department of Commerce Trade Finance Advisory Council. Combiz is the recipient of multiple awards, including the 2020 Federal 100 Award, nominated by 3 Federal CIOs for his work in driving quality improvement & innovation in the U.S. government. 

Cupid Chan is a seasoned professional who is well-established in the industry. He is a Senior Fellow and an Adjunct Professor at the University of Maryland of a Master program class, “Big Data and AI for Business.” His journey started as one of the key players in building world-class software. Besides holding various technical accreditations, his credential extends into business qualifications such as PMP, Lean Six Sigma, and SAFe Agilist. 

Cupid has been a consultant for years providing solutions to various Fortune 500 companies and Public Sector. He is the Board of Directors, Technical Steering Committee (TSC), and the Chairperson of the BI & AI Project in Linux Foundation ODPi, which committed to simplification & standardization of the big data ecosystem. He regularly publishes best practices and industry standards whitepapers with other industry leaders, including topics like Data Science Notebook Guidelines, “BI”g Data – How Business Intelligence and Big Data come along? and BI Endgame – When AI meets BI. 

He was also the Chairperson of Architecture and Co-Chair of Logical Data Model for The Mortgage Industry Standards Maintenance Organization (MISMO), responsible for managing engineering disciplines, providing overall technical direction, and supporting all MISMO Products for the mortgage industry.