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.