Grigorios Papageorgiou
Statistics Leader
Rotterdam, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolGrigorios 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.
10 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 LeuvenDoctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Erasmus University RotterdamBachelor 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
English, Greek
Github Skills (15)
survival-analysis10
prediction-model10
mixed-models10
survival10
mcmc8
gaussian4
state-space4
gmm4
xaringan4
missing-data3
linear-models3
statistical-inference3
principal-component-analysis3
remarkjs2
rmarkdown2
Programming languages (3)
Github contributions (5)
gpapageorgiou/JMbayes2
Apr 2022 - Apr 2025
Extended Joint Models for Longitudinal and Survival Data
Contributions:11 pushes in 3 years
jointjoint-modelssurvivalextended
gpapageorgiou/GLMMadaptive
Jun 2020 - Mar 2023
GLMMs with adaptive Gaussian quadrature
Contributions:3 pushes in 2 years 9 months
adaptivegaussianquadrature
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