Summary
Paidamoyo Chapfuwa is a Senior Research Scientist at Microsoft Research Health Futures with 11 years of experience building statistical machine learning solutions to improve human health. He combines deep academic training—a PhD in Electrical and Computer Engineering from Duke and postdoctoral work at Stanford on causal inference and survival analysis—with practical industry software engineering across healthcare, radar signal processing, and enterprise systems. His background includes multiple MSR research internships and hands-on delivery of production software, from Electron desktop apps for medical authentication to large-scale SpringMVC banking platforms. Known for mentoring junior engineers and teaching graduate courses in signals, pattern recognition, and probability, he blends technical leadership with pedagogy. He often bridges disciplines, translating advanced ML methods into clinically relevant tools and systems. Based in the Greater Seattle Area, he maintains an active public profile and portfolio at paidamoyo.github.io showcasing his research and projects.
11 years of coding experience
8 years of employment as a software developer
Duke-Tsinghua Machine Learning Summer School, Deep Learning for Big Data, Duke-Tsinghua Machine Learning Summer School, Deep Learning for Big Data at Duke Kunshan University
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at Duke University
Ordinary Levels, Ordinary Levels at Mpopoma High School
International Baccalaureate Diploma, College/University Preparatory and Advanced High School/Secondary Diploma Program, International Baccalaureate Diploma, College/University Preparatory and Advanced High School/Secondary Diploma Program at Sussex Coast College Hastings
English, ndebele, north, Bantu, Zulu, Swahili, Spanish