Giorgio Paulon, Ph.D
Statistical Scientist
Giorgio Paulon is a Statistical Scientist at Berry Consultants. He focuses on the design and implementation of innovative and adaptive clinical trials - including platform trials - using Bayesian methods. He has extensive experience in the design, simulation, and conduct of complex Bayesian adaptive trials, and plays a key role in preparing interim and final analyses and presenting results to Data Safety Monitoring Boards (DSMBs) composed of clinicians and statisticians. His work has contributed to high-impact publications, including a pivotal trial in The New England Journal of Medicine on minimally invasive removal of intracerebral hemorrhage.
Giorgio is passionate about best practices for enhancing the inferential reproducibility of clinical research, programming advanced statistical models, and supporting transparent, data-driven decision-making. He enjoys translating complex methodologies into accessible tools, summaries, and visualizations that guide clinical teams and collaborators.
He earned his PhD in Statistics from the University of Texas at Austin, where his research focused on Bayesian clustering methods for longitudinal data. While there, he also worked on interdisciplinary projects in auditory behavioral neuroscience, applying statistical modeling to experimental science. Before graduate school, Giorgio completed a double degree in Mathematical Engineering through a joint program between Politecnico di Milano in Italy and École Centrale Paris in France. This international academic background, combined with his applied industry experience, gives him a strong foundation in both theoretical and applied statistics.