Alberto Pessia is a senior statistician and biostatistician based in Helsinki with 11 years of experience applying advanced multivariate and Bayesian methods to clinical and molecular data. He has moved between academia and industry—leading statistical research on dose-response and drug combinations at FIMM and the University of Helsinki before joining Bayer—bridging methodological development with applied clinical trial work. His expertise spans survival analysis, dose-response modeling, and subgroup identification, complemented by hands-on development of in-house software to automate complex analyses. A PhD in Statistics and top honors in biostatistics from Sapienza underpin a strong foundation in probabilistic modeling, while his history of teaching and cross-disciplinary collaborations highlights an ability to communicate complex results to diverse audiences. Notably, he pairs rigorous statistical innovation with practical tooling, making advanced methods operational in real-world drug development settings.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Statistics, 110 out of 110 with distinction, Bachelor's degree, Statistics, 110 out of 110 with distinction at Università degli Studi di Roma 'La Sapienza'
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Helsinki
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.