Grigorios Papageorgiou is a Biostatistician and Data Scientist with a PhD in Biostatistics and a decade of experience applying advanced longitudinal and survival methods across cardiovascular, metabolic and infectious disease research. As Statistics Leader at GSK’s Statistics and Data Science Innovation Hub he blends methodological leadership with hands-on software development, co-developing widely used R packages such as JMbayes and JMbayes2. He also brings regulatory insight from his role as a part-time methodological assessor at CBG-MEB, informing trial design and statistical rigor for the European medicines network. His research focuses on (Bayesian) joint models, dynamic prediction, multi-state models and handling missing outcome data, and he has a strong track record of methodological and clinical publications. Based in Rotterdam, he combines applied consultancy experience from Erasmus MC with a practical knack for turning complex statistical theory into reproducible software tools.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Statistics, major: Biometrics, Cum Laude, Master of Science (M.Sc.), Statistics, major: Biometrics, Cum Laude at KU Leuven
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Erasmus University Rotterdam
Bachelor of Applied Science (B.A.Sc.), Statistics and Actuarial Science, Bachelor of Applied Science (B.A.Sc.), Statistics and Actuarial Science at University of Piraeus
Contributions:27 pushes, 1 branch in 1 year 3 months
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