Smart Data Analysis and Statistics

Dr. Thomas Debray is a biostatistician specializing in predictive modeling and real-world evidence. With more than a decade of experience across Utrecht University, University College London, and the University of Oxford, he currently serves as a guest scientist at the University Medical Center Göttingen. As the founder of Smart Data Analysis and Statistics, he collaborates with leading pharma and biotech organizations to improve trial design, advance statistical innovation, and translate complex data into evidence that supports regulatory and clinical decision-making. He is the lead editor of the handbook Comparative Effectiveness and Personalized Medicine Research Using Real-World Data, reflecting his focus on bridging modern statistical methodology with practical, real-world applications.

Tri-Long Nguyen is an Associate Professor of Biostatistics at the University of Copenhagen. His research focuses on developing methodological advances in causal inference and prediction modeling, with applications across medicine and public health. He is an editor of the handbook Comparative Effectiveness and Personalized Medicine Research Using Real-World Data. His work bridges rigorous statistical theory with practical, real-world applications, making complex methods accessible to researchers seeking to generate reliable and actionable evidence.

Robert Platt, PhD, is a leading expert in causal inference and pharmacoepidemiology. He is Director of the School of Population and Global Health and holds the Albert Boehringer Chair in Pharmacoepidemiology at McGill University. His research develops advanced methods for analyzing observational and clinical trial data, with applications in drug safety, pediatric health, and perinatal epidemiology. Prof. Platt is Principal Investigator of the Canadian Network for Observational Drug Effect Studies (CNODES), a national collaboration that has supported over 80 regulatory and public health evaluations. He has authored more than 400 peer-reviewed publications and supervised over 50 trainees across epidemiology, biostatistics, and statistics. A Fellow of both the American Statistical Association and the International Society for Pharmacoepidemiology, he also serves as Editor-in-Chief of Statistics in Medicine and as an editor for several leading journals.