- Iris Wang is an experienced Data Analytics & AI researcher and strategist, specializing in semantic and graph data modeling strategy, democratized analytics framework, and data mesh design. With a Master's Degree from the University of Toronto, Iris has published research on semantic data modeling for public finance. Prior to joining Metrolinx, her analytics consulting business aimed to empower companies to leverage their data for business growth and innovation. Iris has worked in technology consulting, banking, and telecom, giving her a diverse perspective on the rapidly evolving data landscape. She is a thought leader aiming to advancing the field of Big Data & AI through innovation and collaboration.