Profile:Research Professor and PhD Supervisor at the School of Public Health and Director of the Center for Real-World Evidence Evaluation at Clinical Research Institute of Advanced Clinical Medicine, Peking University. She has been selected for China’s National Leading Talent in Scientific and Technological Innovation under the "Ten Thousand Talents Program" and "Thousand Talents Plan" Scholar for Outstanding Young Scientists. Dr. Gao serves on the editorial board of the International Journal of Epidemiology and PLOS Medicine, and contributed to the development of multiple standards, technical specifications, and guidelines in real-world evidence research. Her research focuses on cardiovascular risk prediction and decision-making based on big data, as well as active post-market surveillance of medical devices.

Profile:​Associate Professor of Epidemiology at the Peking University School of Public Health and the Fogarty Visiting Scholar at Duke University (2011-2013). Dr. TANG has led several projects funded by the Ministry of Science & Technology and the National Natural Science Foundation of China, and published papers in the leading peer-reviewed journals, such as the JAMA and Lancet series. Dr. TANG was awarded the Second Prize of Chinese Preventive Medicine Association Science and Technology Award (2023) and China Huaxia Medical Science and Technology Award (2022).

Profile:PhD, serves as the Deputy Director of both the Department of Project Development and Management and the Center for Real-World Evidence Evaluation at Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University. Over the past five years, she has coordinated and managed the inspection and auditing of over a thousand clinical research projects in Beijing. Dr. Li is dedicated to promoting the standardized development of real-world research (RWR).

Profile:PharmD, earned her degree from University of Nebraska Medical Center. She currently serves as an Assistant Data Analyst at the Center for Real-World Evidence Evaluation, Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University. Her research interests include registry-based studies, clinical research design, and active post-market surveillance of medical devices.

Profile:Beibei Li is an Assistant Data Analyst at the Center for Real-World Evidence Evaluation, Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University. She holds a Master of Applied Statistics from North China Electric Power University. Her research interests include medical data analysis and mining, as well as longitudinal data analysis methods.

Profile:holds dual Bachelor's degrees in Preventive Medicine and Mathematics and Applied Mathematics, and obtained her Master's and PhD in Epidemiology and Biostatistics from Peking University. Her research focuses on health data science and chronic disease epidemiology. She has published in leading journals including Fundamental Research, Journal of Clinical Epidemiology, and JACC Asia, and has contributed to multiple projects funded by the National Natural Science Foundation of China and the Ministry of Science and Technology's National Key Research and Development Program.

Profile:holds a double bachelor's degree in Medicine and Economics and a master's degree in Epidemiology and Biostatistics from Peking University. She has participated in several projects, including the National Science and Technology Major Project, the National Natural Science Foundation of China, and the National Key Research and Development Program, with findings published as first or co-first author in high-impact medical journals such as PLoS Medicine and BMC Medicine.

Profile:graduated with a Bachelor's degree in Preventive Medicine from Shandong University and a Master's in Public Health from Peking University, under the supervision of Dr Pei Gao. Jingyuan's research focuses on cardiovascular disease risk prediction using regional and national data. Jingyuan is a core member of the China–New Zealand collaborative project, "Development and validation of CVD risk prediction models in people with diabetes in New Zealand and China: a collaborative project", with findings published in international journals including the European Journal of Epidemiology and the European Journal of Preventive Cardiology.

Profile:obtained his Bachelor’s degree in Preventive Medicine and his Master of Science in Epidemiology and Biostatistics from the School of Public Health, Peking University. He was supervised by Research Fellow Pei Gao. His research focuses on the application of machine learning algorithms in large cohort health data, with findings published in EHJ Digital Health and Science Bulletin. Currently, he is conducting research on the application of Transformers in predicting cardiovascular disease mortality and incidence, as well as the differences in BMI cutoffs across ethnicities.