Dr. Luo is professor of Biostatistics & Bioinformatics at Duke University. He received his PhD in Biostatistics from The Johns Hopkins University. He is Fellow of American Statistical Association (ASA) and Elected Member of International Statistical Institute. Dr. Luo is a leading expert in statistical methods of the design and analysis of clinical trials and observational studies. He has more than 100 peer-reviewed articles published in high-impact clinical and statistical journals. Dr. Luo has served as PI of multiple NIH grants on statistical methodology development. He is also PI of multiple projects regarding novel latent variable modeling and various neurodegenerative disorders rating scale development, validation, and translation funded by Parkinson’s Foundation, CHDI Foundation, and Movement Disorders Society.
Ying Yuan, PhD, is a Bettyann Asche Murray Distinguished Professor and Deputy Chair in the Department of Biostatistics at the University of Texas MD Anderson Cancer Center. Dr. Yuan has published over 100 statistical methodology papers on innovative Bayesian adaptive designs, including early phase trials, seamless trials, biomarker-guided trials, and basket and platform trials. The designs and software developed by Dr. Yuan’s lab (www.trialdesign.org) have been widely used in medical research institutes and pharmaceutical companies.
Dr. Yuan is the Chair of Data Safety Monitoring Board (DSMB), overseeing over 100 ongoing randomized clinical trials at MD Anderson Cancer Center. Dr. Yuan was elected as the American Statistical Association Fellow, and wrote book “Bayesian Designs for Phase I-II Clinical Trials” published by Chapman & Hall/CRC.
Dr. Lin is the Dennis Gillings Distinguished Professor of biostatistics, a member of the Lineberger Comprehensive Cancer Center and a member of the Center for AIDS Research.
Dr. Lin has published over 170 peer-reviewed articles, most of which have appeared in leading statistical and genetic journals. He has made many fundamental contributions to statistical methods for the designs and analysis of biomedical studies, especially in the areas of survival analysis and statistical genetics. Several of his methods have been incorporated into commercial software packages and commonly used in biomedical studies. Dr. Lin has extensive applied research experience in cancer, AIDS, psychiatry and cardiovascular diseases.