Head of L-BioStat and professor at the University of Leuven (KU Leuven), specializing in biostatistics and statistical methodology for longitudinal data analysis. His research and professional activity focus on the development and application of statistical models for biomedical and clinical studies.
Distinguished University Professor at McMaster University, renowned for his seminal contributions to statistical methodology, particularly in order statistics and reliability analysis. His extensive research and editorial leadership have profoundly shaped modern statistical theory and its applications across numerous scientific fields.
Professor of Biomedical Data Science at Stanford University, where he leads research in biostatistics, clinical trial design, and AI applications in healthcare. Her work focuses on developing innovative statistical methods to improve disease diagnosis, prognosis, and personalized treatment strategies.
Distinguished biostatistician at the University of Thessaly and the University of Bern’s Inselspital. He directs high-level research initiatives that integrate biometrical theory with large-scale clinical data science. His expertise lies in enhancing the precision of medical diagnostics through robust statistical frameworks and fostering international collaboration in healthcare analytics.
Professor of Statistics at the University of Haifa, renowned for his influential research in statistical methodology, particularly in reliability theory and survival analysis. His work has made significant contributions to the development of statistical models used in engineering and life sciences.