Summary
Juho Kopra is a Bayesian-minded statistician based in Kuopio, Finland, with nine years of experience applying advanced missing data and causal modelling to public health research. He currently models non-participation in health examination studies, combining practical programming skills in R and Perl with rigorous statistical methods. His background includes a Bayesian mark–recapture master's thesis and university lecturing, reflecting both research depth and teaching ability. Comfortable translating complex causal inference into reproducible code, he brings a pragmatic, research-driven approach to solving real-world epidemiological problems.
9 years of coding experience
University of Jyväskylä
English, German, Finnish, Swedish