91³ÉÈ˰涶Òô

Professor Caroline 91³ÉÈ˰涶Òôr AO is a midwife who is a globally recognised expert in maternal and newborn health, with an extensive career spanning clinical midwifery, research, and health policy. As the co-head of the Global Women’s and Newborn Health group at the Burnet Institute, leads research and development aimed to improve outcomes for women and babies in Australia and internationally. She has served as a key technical advisor to the World Health Organization and contributed significantly to the development of global maternal and perinatal health guidelines. A passionate advocate for equitable, evidence-based care, Caroline’s work bridges research excellence and real-world impact in low- and middle-income settings.

Professor Peter Rijnbeek is a health data scientist with 25 years' experience in computer science, data quality and management, statistics, and the development of real-world data solutions. As Chair of the Department of Medical Informatics at Erasmus University Medical Centre and Executive Director of the Data Analysis and Real World Interrogation Network (DARWIN-EU), he leads work to generate timely, high-quality evidence on the use, safety and effectiveness of medicines across the European Union. A leader in health data interoperability, he coordinates the European Health Data and Evidence Network (EHDEN), and the European OHDSI Chapter and plays a key role in promoting the use of common data standards to enable consistent, large-scale analysis of electronic health records

Professor Robert Platt is a biostatistician and pharmacoepidemiologist with an extensive track record of advancing real-world data methods to support public health and clinical research. As Professor of Paediatrics and of Epidemiology, Biostatistics, and Occupational Health at McGill University, and Executive Co-Lead of the Canadian Network for Observational Drug Effect Studies (CNODES), he contributes to national efforts to evaluate the safety and effectiveness of medicines. Robert holds the Canada Research Chair in Pharmacoepidemiology and Statistical Methods, with research focused on causal inference using administrative claims and electronic health record data. A long-standing contributor to international methodological initiatives, he plays a central role in the OHDSI community, strengthening the quality and consistency of multi-database studies that inform healthcare policy and regulatory decisions.