Tesfayi Gebreselassie

Tesfayi Gebreselassie (PhD) is Director of Data Analysis and Senior Advisor for Research and Data Analysis for the U.S. Agency for International Development (USAID)’s Surveys for Monitoring in Resilience and Food Security (SMRFS) project at ICF. He participates in data analysis and writing on health inequalities, measurement of absolute poverty, fertility and family planning. He has experience in applied econometrics and applied statistics, collecting and analyzing data, conducting quality control measures, managing databases, disseminating results from complex multi-level surveys, and working with large datasets. Tesfayi has analyzed data from cross-sectional and longitudinal studies involving the application of complex statistical models, such as multi-level modeling and survival analysis, econometric analysis of limited dependent variables, and propensity score matching. He has also implemented survey-to-survey imputation to predict poverty across surveys.

Previously, Tesfayi served as a data manager for the longitudinal, multisite study of the Comprehensive Community Mental Health Services for Children and Their Families Program . He participated in the development of a number of automated processes for various data reports, writing several annual reports to congress. He also delivered presentations at numerous research and policy conferences. Tesfayi has authored or co-authored more than six research papers published in peer-reviewed journals, and he has produced a number of manuscripts, short briefs, presentations, and data manuals. He also managed and analyzed data collected through the Garrett Lee Smith Youth Suicide Prevention and Early Intervention Program Evaluation.

Tesfayi produced analytical reports on absolute poverty, fertility preferences, and family planning, trends and determinants of traditional contraceptive use, inequalities in the coverage of reproductive, maternal, newborn, and child health interventions, and other topics using the U.S. Agency for International Development-supported DHS program data.

Tesfayi is proficient in statistical and econometric software, such as Stata, SAS, and SPSS, and has a working knowledge of R. He has published articles in peer-reviewed journals, chapters in books, and working paper series on mental health policy, population studies, health inequality, and labor market issues. He is fluent in Amharic and Tigrigna.