Summary
Denish Azamuke is a doctoral researcher in computer science focused on building MoMTSim, a mobile money transaction simulator, and applying privacy-preserving machine learning to synthetic financial data for benchmarking fraud detection and AML in Sub-Saharan Africa. With eight years of experience spanning a BSc in Computer Science and an accelerated MSc in Mathematical Sciences, he blends practical software development (including an API-driven mobile app on Google Play) with rigorous financial modeling and statistical techniques. His work sits at the intersection of AI in finance, RegTech, and financial inclusion, using simulation to recreate emerging crime scenarios and evaluate controls where real data is scarce. Based in Kampala, he pairs academic depth with hands-on engineering pragmatism—his mantra is simply “I just want things to work”—and he brings domain-specific insights from projects across Uganda and Rwanda.
8 years of coding experience
Summer Studentship (Certificate), Business Modelling and Management, Summer Studentship (Certificate), Business Modelling and Management at ESMT Berlin
MSc, Mathematics, MSc, Mathematics at African Institute for Mathematical Sciences
PhD, Computer Science, PhD, Computer Science at Makerere University