Summary
Steve Cygu is a research fellow and data scientist with nine years of experience at the intersection of computational methods and public health, currently affiliated with I-DAIR and the African Population and Health Research Center. He holds a PhD in Computational Science and Engineering from McMaster and brings deep expertise in mathematical and statistical modeling, R package development, and end-to-end data pipelines for large-scale health and survey data. Steve has a strong track record automating data quality checks, web-scraping and building dashboards that turn noisy field data into actionable insights for global development clients. His background in mathematical biology and epidemiological modeling underpins pragmatic predictive modeling and algorithm implementation efforts. Colleagues value his dual fluency in rigorous research and production-ready tooling, and his ongoing contributions to the R open-source community reflect a commitment to reproducible science.
9 years of coding experience
4 years of employment as a software developer
B+ (Plus), B+ (Plus) at Waondo Secondary School
Master's degree, Mathematical Sciences, Second-class honours, upper division, Master's degree, Mathematical Sciences, Second-class honours, upper division at University of Cape Town
Doctor of Philosophy - PhD, Computational Science and Engineering, 4.0, Doctor of Philosophy - PhD, Computational Science and Engineering, 4.0 at McMaster University
Master's degree, Mathematical Biology, cum laude, Master's degree, Mathematical Biology, cum laude at Stellenbosch University/Universiteit Stellenbosch
Bachelor of Applied Science (B.A.Sc.), Applied Statistics with Computing, First Class Honours, Bachelor of Applied Science (B.A.Sc.), Applied Statistics with Computing, First Class Honours at Maasai Mara University
English, luo, suba