Population Health: Predictive Analytics

David van Klaveren is an assistant professor in the Department of Public Health at Erasmus MC in Rotterdam. His career ambition is to empower Precision Medicine—tailoring medical treatment to the individual characteristics of each patient, resulting in better health outcomes and cost savings. To achieve this, he improves the derivation and validation of prediction models that guide individualized decisions on treatment and prevention. With a strong mathematical background, he has developed and will continue to develop new guidance on modeling techniques, model performance measures, and data usage. He received the Young Investigator Award from the Journal of Clinical Epidemiology in 2015 and earned a cum laude PhD degree from Erasmus MC in 2017. Before returning to Erasmus MC, he was an assistant professor in the Biomedical Data Sciences department at LUMC. Since 2015, he has been a visiting scholar at the Predictive Analytics and Comparative Effectiveness Center of Tufts Medical Center in Boston. He has served as an associate editor for BMC Medical Informatics and Decision Making and is currently an associate editor for BMC Diagnostic and Prognostic Research.

Ewout W. Steyerberg is a renowned Professor of Clinical Biostatistics and Medical Decision Making at Leiden University Medical Center, where he has been chairing the Department of Biomedical Data Sciences since 2017. His academic journey began at Leiden University, where he studied medicine and later earned an MSc in Biomedical Sciences. He completed his PhD at Erasmus MC with a thesis focused on prognostic modeling for clinical decision-making. With over 25 years of experience, including a significant tenure at Erasmus MC, Steyerberg has dedicated his career to developing, validating, and updating prediction models that enhance medical decision-making. His research encompasses advanced statistical methods, including regression analysis and machine learning, applied across various medical domains. He is widely published, with over 1,000 peer-reviewed articles to his name, and is recognized for his influential textbook, Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating, which serves as a key resource in the field. Steyerberg's contributions have earned him numerous accolades, including membership in the Royal Netherlands Academy of Arts and Sciences and the European Academy of Sciences and Arts, reflecting his pivotal role in advancing healthcare through statistical science.