Dr. Shuangge (Steven) Ma is a Professor of Biostatistics at Yale School of Public Health. His research interests include genetic epidemiology, EHR data analysis, cancer biostatistics, and deep learning. He obtained his Ph.D. in Statistics from the University of Wisconsin, Madison in 2004. He was a Postdoctoral Fellow at the University of Washington, Seattle between 2004 and 2006 and has been at Yale University afterwards.
Daeyoung Lim is a Mathematical Statistician in the Center for Drug Evaluation and Research (CDER) at FDA, reviewing a wide variety of drug product applications in the Dermatology and Dentistry therapeutic areas. He received his PhD in Statistics from the University of Connecticut. His interests include Bayesian statistics, statistical computing, and multiplicity.
Dr. Chu is a Senior Director in Statistical Research and Innovation, Pfizer Inc. He has over 20 years of leadership experience in the academic institutions and pharmaceutical industry. His areas of expertise include clinical trials, real world evidence, precision medicine, diagnostic medicine and health technology assessment. Methodologically, his expertise includes complex innovative trial designs, causal inference, real world evidence, data integration, correlated and survival data analysis, missing data analysis, Bayesian hierarchical models, epidemiology methods, federated learning and evidence synthesis methods. He has been influential externally, with decades of research, mentoring and teaching experience at major institutions, including Johns Hopkins University, University of North Carolina-Chapel Hill, and University of Minnesota Twin Cities. He has been awarded numerous federal methodology grants as the principal investigator and published over 260 peer-reviewed manuscripts. He has served on editorial boards of major journals, including Journal of the American Statistical Association (JASA), American Journal of Epidemiology and Statistics in Medicine. He is an elected Fellow of the American Statistical Association.
Dr. Zhaoyang Teng is currently the Biostatistics Director at Servier, heading the LCM (HEOR, Market Access and GMPA) biostats team for oncology, and biostats APAC team which is located in Beijing, China. He has extensive experience in all phases of drug development (Phase I to IV) including global regulatory submission, HTA submission, global drug development, HEOR, market access and global medical affairs. Prior to join Servier, he worked at Takeda Pharmaceuticals for several years. Dr. Teng received his PhD in Biostatistics from Boston University. His research interest includes adaptive design, seamless phase 2/3 study designs, biomarker-driven design, model-based meta-analysis, multi-regional clinical trial, enrolment prediction, indirect treatment comparison (ITC) and AI in drug development. He is also an active member in several statistical communities including ASA, BCASA, NESS, ICSA, SIP and DISS to serve the statistics related professional community and help organize different local and global events.