Dr. Chen joined the USF faculty on August 29, 2011. He is a professor of biostatistics in the Department of Epidemiology and Biostatistics and the director of the biostatistics PhD program. Prior to coming to USF, Dr. Chen was a senior biostatistician and research scientist in the Department of Epidemiology at the New York State Psychiatric Institute (1999-2010), adjunct assistant professor in the Department of Epidemiology, Mailman School of Public Health at Columbia University (2002-2005), senior core faculty and senior biostatistician in the Department of Biostatistics at the New York State Psychiatric Institute (2006-2010), assistant professor in the Department of Psychiatry, College of Physicians and Surgeons at Columbia University (2006-2010), and senior biostatistician and associate professor at Stony Brook University School of Medicine and Winthrop University Hospital (2010-2011). Prior to his immigration to the United States in 1998, Dr. Chen was the founding chair (1994-1998) of the Biostatistics Department at Southern Medical University in China. His research interests include clinical trials, missing data, longitudinal data analyses and causal inference, epidemiological methods and psychiatric epidemiology. He has been a co-investigator on the Children in the Community (CIC) study since 1999, which is a longitudinal study followed from 1975 with three generations (mothers, offspring and grandchildren). Dr. Chen has published more than 110 research articles. He has worked for more than 100 NIH grant proposals. Dr. Chen is a biostatistical reviewer for NIH clinical trial applications. His collaborations with investigators at Columbia University have resulted in more than 10 NIH R01 funded grants. Dr. Chen has been involved in more than 45 clinical trials and taught Design and Analysis of Clinical Trials, Biostatistics I & II and Epidemiological Methods courses at Columbia University and USF. Dr. Chen serves as the director of the Study Design and Data Analysis group.

Dr. Yangxin Huang joined the USF as faculty member in 2005. He is tenured full professor of Biostatistics at the College of Public Health. Prior to USF, Dr. Huang was postdoctoral at Harvard School of Public Health in 2001-2003, and was assistant professor at University of Rochester in 2003-2005. He has published more than 120 articles in peer-reviewed statistical and scientific journals since 2005. As PI, Co-PI or Co-I, Dr. Huang had and have been working on a number of funded extramural projects from the various sources including NIH, NSF and NSA in supporting his research activities and collaboration, and is a grant reviewer for the NIH and NSF. He has also directed more than 6 PhD graduates as major professor and supervised more than 40 doctoral and MPH/MSPH students. Dr. Huang is experienced biostatistical collaborator in various funded and unfunded projects, grant proposals, manuscript preparation to conduct study design and protocol development. He also has expertise in managing data collection, statistical analysis and interpretation and presentation of analysis results, and providing general critique to grant proposal evaluation and critical review of manuscript to medical, public health and other scientific researchers. Dr. Huang’s research interests and interdisciplinary collaboration expertise are Bayesian statistics and MCMC-based algorithms, joint modeling for longitudinal and survival data, mixed-effects (multi-level) models for longitudinal data, Bayesian-frequentist hybrid approach for longitudinal data, change-point modeling for longitudinal data, quantile regression-based mixed-effects modeling, and missing, measurement error and zero-inflated data analysis as well as statistical applications in HIV/AIDS, diabetes, infectious diseases, cancer and neurology etc.

Matthew received his PhD from Arizona State University in 2018. He has two main areas of research. First, his research consists of bridging the gap between modern causal mediation methods and currently accepted statistical mediation methods in the health and social sciences. Second, his research involves developing and evaluating statistical mediation analysis methods in the context of longitudinal data and preventive interventions. In addition to his focal research, Matthew has assisted with data analytic issues on several federally funded projects evaluating effects of health intervention programs.

Dr. Wang has worked at the College of Public Health as a faculty member since 2008. As an associate professor in the Department of Epidemiology and Biostatistics, Dr. Wang has served as the lead statistician in more than 20 federally funded studies and trials focusing on evaluating interventions and treatment using clinical trials. He has also published more than 50 peer-reviewed manuscripts in top journals disseminating the findings from these studies. He has also supervised more than 20 doctoral students and many more MPH/MSPH students. His expertise is on design and evaluation of clinical trials. Some of the methodologies he specializes in include integrated data analysis, multi-level modeling including linear and generalized linear mixed-effects models, structural equation models, mediation analysis and growth curve models.