Dr. Hiraku Kumamaru is a professor of health data science at Yokohama City University, with expertise in real-world data analysis and pharmacoepidemiology. Trained as a medical doctor and pharmacoepidemiologist, he conducts collaborative clinical research using large-scale claims data, hospital-based databases, and surgical and interventional registries. His work bridges clinical insight and data science to generate evidence that informs both patient care and health policy.

Dr. Ju-Young (Judy) Shin is a Professor at the School of Pharmacy, Sungkyunkwan University (SKKU), and Director of the Department of Biohealth Regulatory Science. She is an internationally recognized pharmacoepidemiologist with extensive expertise in real-world data analytics, drug safety, and regulatory science. Dr. Shin has led multiple large-scale projects funded by the Ministry of Food and Drug Safety of Korea, advancing evidence generation for post-marketing safety surveillance and innovative study designs such as external control arms. She has served on national and international advisory committees and has published widely in top journals, contributing to the harmonization of regulatory science across Asia, North America, and Europe. Dr. Shin is also committed to training the next generation of pharmacoepidemiologists and regulatory scientists through graduate education and global collaborations.

Daniel Tsai is a doctoral research fellow at Population Health Data Center, NCKU. He specializes in comparative effectiveness research and policy research. His expertise includes triangulating claims databases, electronic health records, and biomedical databases to inform causal inference. Additionally, he is actively involved in the intersection of artificial intelligence and geriatric medicine. Moreover, Daniel contributes as an active member to both the Asian Pharmacoepidemiology Network (AsPEN) and the Neurological and Mental Health Global Epidemiology Network (NeuroGEN), where he is deeply involved in fostering research collaborations and advancements in the field.

Kenneth is a lecturer/assistant professor and Chartered Statistician at the UCL School of Pharmacy. He uses large, real-world datasets to evaluate how medicines work in practice—how safe, how effective, and for whom. His work sits at the intersection of statistics, pharmacoepidemiology, child and perinatal health, and mental health. He has authored over 160 peer-reviewed papers, and his findings appear in more than 90 policy citations from organisations including the World Health Organization, NICE, and the US Agency for Healthcare Research and Quality. Kenneth chairs the Expert Review Committee and serves on the Central Advisory Committee of the UK’s Clinical Practice Research Datalink (CPRD). He collaborates globally through consortia such as the Asia Pharmacoepidemiology Network, TIMESPAN, and OHDSI. Recognised with the Kramer-Pollnow Prize (2023), he leads multinational, patient-centred studies that inform regulation and clinical practice, and champions rigorous, transparent methods so decisions about medicines are grounded in trustworthy evidence.