People

Dr. Huang is a Research Scientist at the department of Biostatistics, Yale School of Public Health. After completing his education in Medicine and Physiology at the First Military Medical School in China, he also completed his graduate education at Yale School of Public Health. His early studies focused on the basic research and study interests included the mechanism of neuronal death after ischemia, glia cell functions in the brain, neuronal circuit, mechanisms, and regulation of sleeping and food intake. More than 10 articles were published from these studies in prestigious journals, including Journal of Neuroscience, Journal of Physiology, etc. Since 2009, his study interests have been focused on clinical studies and public health. As one of the core members in the Data Coordinating Center (DCC) for Reproductive Medicine Network (RMN) and previous National Genomic and Proteomic Network at Yale, Dr. Huang have been actively involved in many important clinical trials, including the Genomic and Proteomic Network for Preterm Birth longitudinal, case-control, and expression profile studies, the Pregnancy in Polycystic Ovary Syndrome II (PPCOSII) study, the Assessment of multiple intrauterine gestations from ovarian stimulation (AMIGOS) study, and the Effects of Physiologic Oxygen Tension on Clinical In Vitro Fertilization Outcomes (PhOx) study. He played important roles in the study design, study initiation, data monitoring, meeting and conference report preparation, data management, data integration and harmonization, statistical analysis and manuscript publications. He has authored or co-authored more than 30 publications in prestigious journals, including 2 articles published in New England Journal of Medicine. Then, Dr. Huang and his colleagues have finished the trials of “Improving Reproductive Fitness Through Pretreatment with Lifestyle Modification in Obese Women with Unexplained Infertility (FIT-PLESE)”, the pilot trial “Males, Antioxidants, and Infertility Trial (MOXI)”, the Evaluation, Validation and Refinement of Noninvasive Diagnostic Biomarkers for Endometriosis (Endo Marker) study, the Optimal treatment for women with a Persisting Pregnancy of Unknown Location- Active Treatment versus Expectant Management (The “ACTorNOT TRIAL”); results from these studies have been published in prestigious journals, including the journal of JAMA and Plos Medicine. Currently, 2 clinical trials/studies (FRIEND and PREGnant) for the new reproductive medicine consortium are in active recruitment. Dr. Huang has been serving and now serves as the Data Director and Lead Statistician of the network/consortium. He also supervises all the secondary or ancillary analyses performed within the center and part of the network. In addition, he serves as the methodological editor for the prestigious journal of Fertility and Sterility.

Dr. Zhang published over 380 research articles and monographs in theory and applications of statistical methods and in several areas of biomedical research including epidemiology, genetics, child and women health, mental health, substance use, and reproductive medicine. He directed a training program in mental health research that was funded by the NIMH. He directs the Collaborative Center for Statistics in Science that coordinates the Reproductive Medicine Network to evaluate treatment effectiveness for infertility. He is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics. He was named the 2008 Myrto Lefokopoulou distinguished lecturer by Harvard School of Public Health and a Medallion Lecturer by the Institute of Mathematical Statistics. In 2011, he received the Royan International Award on Reproductive Health. Dr. Zhang was the president of the International Chinese Statistical Association in 2019. He is a former-editor of the Journal of the American Statistical Association - Applications and Case Studies. He was the recipient of the 2022 Neyman Award and Lecture by the Institute of Mathematical Statistics and the 2023 Distinguished Achievement Award by the International Chinese Statistical Association. He was selected as a 2023 High Cited Researcher in cross field by Web of Science.