Team

Our multidisciplinary team consists of experts in psychometrics, data synthesis and analysis, and intervention design and dissemination. This allows us to rapidly disseminate our research findings and to develop a consensus about how to improve alcohol-related intervention for adolescents, college students, and young adults.

Eun-Young (E.Y.) Mun, Ph.D.
Dr. Eun-Young Mun is a Professor in the Department of Health Behavior and Health Systems at the University of North Texas Health Science Center. Dr. Mun directs the Project INTEGRATE Lab. She has published over 100 papers on the etiology, prevention, and intervention of alcohol misuse among young adults and novel research methods. See also https://g.co/kgs/6HK45B

Scott Baldwin, Ph.D.
Dr. Scott Baldwin is a Professor of Psychology at Brigham Young University. Dr. Baldwin’s research is related to the analysis of clustered data, psychometrics, longitudinal data analysis, meta-analysis, and Bayesian methods.

Elizabeth D’Amico, Ph.D.
Dr. Elizabeth D’Amico is a Senior Behavioral Scientist at RAND Corporation. Dr. D’Amico specializes in developing, implementing, and evaluating alcohol interventions for adolescents.

Jimmy de la Torre, Ph.D.
Dr. Jimmy de la Torre is a Professor and Unit Head of Human Communication, Development, and Information Sciences at the University of Hong Kong. Dr. de la Torre’s areas of expertise are Latent Variable Modeling, Item Response Theory, Cognitive Diagnosis Models, Use of Assessment to Improve Classroom Instruction and Learning.

David Huh, Ph.D.
Dr. David Huh is an Assistant Research Professor in the School of Social Work at the University of Washington. His research has focused on identifying the features of effective interventions for reducing problem alcohol use, particularly time-limited approaches appropriate for resource-limited settings. Towards that end, he is currently developing new statistical approaches for meta-analysis using individual participant data that can evaluate treatment effectiveness and pathways of change with greater accuracy than either traditional meta-analysis or single-study designs.

Mary Larimer, Ph.D.
Dr. Mary Larimer is a Professor in the Department of Psychiatry & Behavioral Sciences and director of the UW Center for the Study of Health & Risk Behaviors at the University of Washington. Dr. Larimer specializes in the systematic review of brief alcohol interventions among college students.

Lin Tan, Ph.D.
Dr. Lin Tan is a Research Scientist in the Department of Health Behavior and Health Systems at the University of North Texas Health Science Center. Dr. Tan specializes in developmental sciences and applied statistics.

Zhengqi Tan, MPH
Zhengqi Tan is a 5^th-year Ph.D. Student in the Department of Biostatistics and Epidemiology at the University of North Texas Health Science Center. Zhengqi Tan’s expertise is in health behavior epidemiology and quantitative methods.

Emily Tanner-Smith, Ph.D.
Dr. Tanner-Smith is an Associate Professor in the Counseling Psychology and Human Services Department and a research scientist at the Prevention Science Institute. Dr. Tanner-Smiths specializes in meta-analysis and research synthesis for evidence-based decision-making.

Tom Trikalinos, Ph.D.
Dr. Tom Trikalinos is a Professor of Health Services, Policy & Practice and Director of the Center for Evidence Synthesis in Health at Brown University School of Public Health. Dr. Trikalinos’s research focuses on novel methodologies for comparative effectiveness research, with emphasis on the steps of evidence synthesis and evidence contextualization.

Scott Walters, Ph.D.
Dr. Scott Walters is a Regent Professor in the Department of Health Behavior and Health Systems at the University of North Texas Health Science Center. Dr. Walters specializes in motivational interviewing, brief alcohol interventions, and smartphone interventions.

Minge Xie, Ph.D.
Dr. Minge Xie is a Distinguished Professor of Statistics and Director of Office of Statistical Consulting at Rutgers University. Dr. Xie’s areas of research include foundation of statistical inference; confidence distribution and conformal prediction; fusion learning, meta-analysis, and combining information; and large sample theories, estimating equations and robust statistics.

Zhengyang Zhou, Ph.D.
Dr. Zhengyang Zhou is an Assistant Professor in the Department of Biostatistics and Epidemiology at the University of North Texas Health Science Center. Dr. Zhou’s expertise is in statistical genetics and biostatistics applications.