My doctoral research focuses on the use of digital technologies to enhance mathematics teaching, learning, and assessment. I am particularly interested in automated assessment systems that provide personalized feedback to students, improve engagement, and support quality pedagogy in the modern classroom.

A central tool in my work is STACK (System for Teaching and Assessment using a Computer Algebra Kernel), an electronic system that allows instructors to create automatically graded mathematical exercises. STACK can handle symbolic calculations, algebraic manipulations, and other math-specific problem types, give students immediate, individualized feedback while reducing grading workload for teachers. This makes it ideal for both university-level courses and broader educational contexts.

Over the past five years, I have supported up to ten low-resource public universities in Africa (Kenya, Tanzania, Ethiopia, and Namibia) with STACK implementation. Recently, we completed our first pilot study at the University of Trieste in Italy, integrating STACK across courses in Biotechnology and Civil Engineering.

I have shared my work internationally, delivering seminars at Caltech (Pasadena, US) and presenting at the 2026 Joint Mathematics Meetings (JMM) in Washington, D.C. I am also part of the STACK Professionals and Researchers Network, where we discuss best practices, research findings, and collaborative projects in digital assessment.