Venediktos has 13 years’ experience over a wide range of statistical methodologies, such as survival analysis, population-adjusted indirect comparisons, network meta-analysis, treatment switching, generalized linear regression, mixed effects models, surrogate endpoint validation, Bayesian methods and multiple imputation for missing data. Additionally, he has experience in a variety of study designs, such as randomized controlled trials, observational cohort studies, cross-sectional and case-control studies, systematic reviews and real-world evidence. Venediktos also has experience in developing health-economic models including patient-level simulations for health technology assessments.
Venediktos has co-authored over 25 peer-reviewed publications and has worked in a range of disease areas, including oncology, asthma, obesity, cardiovascular disease, diabetic retinopathy, myopia, and glaucoma.
Venediktos completed his PhD on multi-state Markov models at the University of Cambridge after excelling in his undergraduate and postgraduate studies (first-class honors in applied mathematics and biostatistics, respectively), achieving the highest mark in both courses.