Guoqing Diao

Guoqing Diao

Guoqing Diao

M.S., Ph.D.

Professor


School: Milken Institute School of Public Health

Department: Biostatistics and Bioinformatics

Contact:

Email: Guoqing Diao
Science & Engineering Hall 800 22nd Street, NW Washington DC 20052

Dr. Diao is a Professor (with tenure) in the Department of Biostatistics and Bioinformatics. Prior to joining GWU in August 2020, he was a tenured professor in the Department of Statistics at George Mason University where he served on the faculty for 14 years. Dr. Diao received his Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill.

Dr. Diao's research focuses on developing new statistical methodologies and novel computational tools for solving critical scientific problems arising in biomedical studies. His research interests semiparametric models, precision medicine, survival analysis, longitudinal data analysis, statistical genetics, high-dimensional data analysis, diagnostic medicine, clinical trial designs, and computational probability. Dr. Diao also has an extensive collaborative record working with researchers in disability, rehabilitation, ultrasound, neuro-imaging, policing and criminology, etc. Dr. Diao’s research has been funded by the National Institutes of Health, the National Science Foundation, and industry.

Dr. Diao serves as the Program Chair-Elect, Program Chair, and Past Program Chair for the American Statistical Association Lifetime Data Science Section (LiDS) during 2018-2020. He chaired the LiDS Student Paper Award Committee multiple times. He serves as an Associate Editor for Statistics in Biosciences.


EXPERTISE: 

Biostatistics

EDUCATION: 

B.E. (Electronic Engineering and Information Science), University of Science and Technology of China, 1998

M.S. (Probability and Statistics), University of Science and Technology of China, 2001

Ph.D. (Biostatistics), University of North Carolina at Chapel Hill, 2005

RESEARCH: 

Dr. Diao’s research focuses on the development of new statistical methodologies and novel computational tools for solving critical scientific problems arising in biomedical studies. His current research areas include semiparametric models, precision medicine, survival analysis, longitudinal data analysis, statistical genetics, high-dimensional data analysis, diagnostic medicine, clinical trial designs, and computational probability. As the leading author, he has published methodology papers in top-tier biostatistical journals such as Biometrika and Biometrics, as well as top genetic journals, including the American Journal of Human Genetics and Genetics. Dr. Diao also has an extensive collaborative record working with researchers in disability, rehabilitation, ultrasound, neuro-imaging, policing and criminology, etc. Dr. Diao’s research has been funded by the National Institutes of Health, the National Science Foundation, and industry.

PUBLICATIONS:  

For a complete list of publications, please see Google Scholar.