Summary
Dhafer Malouche is a Professor of Statistics based in Doha with over two decades of academic and research experience focused on Bayesian statistics, graphical models, and statistical computing. He applies these methods to public health, bibliometrics, data quality, well-being, and innovation policy, frequently collaborating with multidisciplinary teams and supervising graduate research. A former Fulbright Scholar, he has held visiting roles at Stanford, Yale, Michigan and York, bringing an international perspective to survey methodology and applied social-science problems. He teaches applied data analysis in R and Python using real-world datasets and has a track record of publishing in indexed journals. Notably, his work bridges theoretical advances in graphical models and practical survey methodology, making rigorous Bayesian tools accessible for policy-relevant research.
8 years of coding experience
6 years of employment as a software developer
Associate’s Degree, Statistics and Applied Mathematics, Associate’s Degree, Statistics and Applied Mathematics at Ecole Nationale d'Ingérieurs de Tunis
PhD, Probability and Statistics, PhD, Probability and Statistics at Université Paul Sabatier (Toulouse III)
English, French, Arabic