Hanifatu Napari Mumuni, PhD

I am a PhD-trained applied statistician working where statistical science meets software engineering. My field is Software Reliability Growth Models (SRGMs), the mathematics of understanding, predicting, and improving how complex software behaves under testing and in the real world.

My focus is safety-critical software, the kind of system where a fault is not merely a bug to be patched but a threat to human life, infrastructure, or public trust. From autonomous vehicles to connected transport infrastructure, I build statistical frameworks that make reliability measurable, interpretable, and actionable before deployment, rather than after failure.

Trained in applied statistics and mathematical sciences at the University for Development Studies and the African Institute for Mathematical Sciences, I bring deep mathematical rigour to applied engineering problems. My doctoral research introduced novel SRGM frameworks for fault prediction and reliability estimation. Alongside my research, I lead academic departments, supervise graduate research, and mentor the next generation of statisticians and data scientists.