Angelo Elmi

Dr. Elmi is an Associate Professor of Biostatistics in the Department of Biostatistics and Bioinformatics.  He is broadly interested in applying advanced methods for longitudinal and clustered data analysis, including mixed-effects models, generalized estimating equations models, joint models of longitudinal and survival data, and methods for handling missing data. He has extensive collaborative experience across studies applying statistical methods to speech and language pathology, exercise/nutrition science, maternal and child health, sports medicine, social determinants of health, infectious diseases, and pharmacoepidemiology. Dr. Elmi has also published research papers on pedagogical methods for teaching biostatistics.

Dr. Elmi teaches a wide range of courses in the Department of Biostatistics and Bioinformatics, including courses on applied linear regression, applied longitudinal data analysis, biostatistical methods, and theoretical biostatistics courses on linear and generalized linear models. In addition, he has taught the introductory course on Biostatistical Applications in Public Health (PUBH 6002), Statistical Packages for Data Management and Data Analysis (PUBH 6853), and applied categorical data analysis (PUBH 6865).

Dr. Elmi has served as the director of the MS program in Biostatistics at GWU since 2014 and has served as the faculty advisor for many master’s and doctoral projects across the Milken Institute School of Public Health.