Mahmood Taghavi is a Senior Statistician and biostatistician with a PhD and over a decade of applied research experience, now driving advanced analytics at Steno Diabetes Center Copenhagen. He specializes in survival and longitudinal analysis, epidemiologic methods, and risk prediction, with deep practical experience handling Danish health registry data and GDPR-compliant workflows. Proficient in R (including Shiny, package development, and R Markdown), SAS, Stata, and SQL, he combines methodological rigor with reproducible software practices. Mahmood has a track record of consulting, teaching, and supervising researchers, and has translated his research on spatiotemporal and functional models into both academic and startup settings. His background uniquely blends hands-on registry data management with building user-facing tools, reflecting a commitment to making complex models accessible to clinicians and researchers.
8 years of coding experience
1 year of employment as a software developer
Master's degree Biostatistics, Master's degree Biostatistics at Tehran University of Medical Sciences
Doctor of Philosophy (Ph.D.) Biostatistics, Doctor of Philosophy (Ph.D.) Biostatistics at Isfahan University of Medical Sciences
Bachelor's degree Statistics, Bachelor's degree Statistics at Ferdowsi University of Mashhad
Contributions:2 releases, 15 commits, 13 pushes in 7 days
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