o·da·ia | \ 'oh-day-yeah \
Ancient Greek word that means "that for which a merchant travels".
Meet the leadership team
CHIEF EXECUTIVE OFFICER & CO-FOUNDER
Serial entrepreneur and Silicon Valley technology executive with over 25 years of experience as a startup founder, public company executive and board member in semiconductor, IoT, SaaS and digital health. He founded Morega (exit to AT&T) and was an executive at Marvell and BlackBerry.
VP COMMERCIAL, LIFE SCIENCES
Over 25 years of experience in Marketing Management, Global Brand Strategy and Sales Management at seven Fortune 500 companies in the biopharmaceutical industry, including Novartis, Merck, Janssen, Sanofi, Bayer, Biogen
CHIEF EVANGELIST & CO-FOUNDER
Over 8 years of customer analytics experience. Adjunct Professor, Department of Computer Science, University of Toronto. Helen Co-founded the Department of Computer Science Innovation Lab - UofT Startup incubator.
CHIEF PRODUCT OFFICER
Experienced Software Engineering and Product professional. With a Master's degree in Engineering Product Design, Mark specializes in new product development. Mark has worked for Morega (exit to AT&T), RBC and Tribalscale.
CHIEF TECHNOLOGY OFFICER
Greater than 20 years in the IT industry with experience in leading technical teams to deliver complex customer solutions for Morega (exit to AT&T), Ceridian and Capital One.
LEAD MACHINE LEARNING ENGINEER
Machine learning professional with extensive experience in the software industry for over 15 years. Academic background in Math, Physics, and Computer Science.
Periklis Andritsos, PhD
Periklis is an Assistant Professor, Faculty of Information at the University of Toronto. He is a recognized leader in Data Analytics and Structure Discovery with over 15 years experience both in academia and industry. He has a MSc and PhD in Computer Science from the University of Toronto.
Gael Bernard, PhD
Gaël is a postdoctoral researcher at the University of Lausanne, Switzerland, and the University of Toronto. He is a recognized expert in applying modern machine learning and process mining techniques to improve our understanding of customer journeys.