Who I Am
About Me
Some problems are too important to leave unsolved. I'm Alex Mirugwe, a Data Scientist working at the intersection of artificial intelligence and public health. Over the past four years, I've built ML systems that predict HIV patient dropout before it happens, detect tuberculosis in chest X-rays with clinical-grade precision, and helped epidemiologists respond faster when outbreaks strike. My work lives where messy, real-world clinical data meets models that don't just get published, they get deployed.
What Drives Me
Every day, patients in under-resourced facilities miss diagnoses that a well-trained model could have flagged in seconds. That gap, between what AI can do and what it currently does in healthcare, is exactly where I choose to work. I'm not building tools for benchmarks or conference papers. I'm building for the clinician who needs a faster TB read, the program manager tracking thousands of HIV patients across a fragmented system, and the epidemiologist who needs outbreak models before the curve peaks. My north star: intelligent health infrastructure that's as reliable and as accessible as a stethoscope.
