Daniel Sanusi is a researcher and advocate at the intersection of technology, equity, and education. With a background spanning Biochemistry, Business Analytics, and Data Science, Daniel has contributed to institutional policy, international conferences, and research on the role of AI and actuarial methods in shaping inclusive systems. His work explores how data-driven models can enhance fairness in education and policy, particularly for underrepresented communities.