Ryan serves as the Technical Lead and Data Analyst in University Advancement at Concordia University, where he leads data intelligence, data management and pipeline architecture, and the strategic deployment of artificial intelligence initiatives. With a strong foundation in data science, statistics, and analytics, complemented by expertise in computer science and institutional advancement, Ryan specializes in bridging advanced technology with fundraising operations.
His recent work focuses on operationalizing Generative AI, natural language processing, and predictive models to streamline prospect identification, enrich donor data, and automate intelligence-tracking workflows. At Concordia, he drives the technical roadmap for AI capabilities and adoption, helping advancement teams harness data-driven insights to strengthen philanthropic engagement and improve operational effectiveness.