Making Higher Education Visible in the Age of AI

Hamza Qureshi

Founder & Principal

Hamza is a physicist and machine-learning researcher by training. He holds an MSc in Physics and Machine Learning from the University of Calgary, where he also taught experimental design, statistical analysis, and lab methods to graduate and undergraduate students. That background shapes how Ibex works: enrollment decisions should run on measured evidence, not hunches.

He founded Ibex Insights to bring that quantitative rigor to higher education, an industry competing for student attention as more of the search runs through AI. His work sits at the intersection of search technology, machine learning, and enrollment strategy: not just where students search, but how AI systems surface and recommend institutions, and what the underlying data actually says.

The same discipline runs through Ibex's flagship data tool, which benchmarks 5,700+ institutions across 150+ metrics drawn from seventeen public data sources. Across nearly a decade building data-driven organizations, running research and grant pipelines, and shipping models into production, Hamza has focused on one thing: turning complex analysis into decisions leaders can act on, inside the regulatory environment (FERPA, accreditation, Title IV) that shapes institutional strategy.