Samuel Clark’s research is in the areas of demography and health. The goal is to improve measurement and understanding of interacting population and health issues affecting Africa. This involves developing new efficient, feasible methods to measure population and health indicators; development of new methods to ascertain cause of death; and a variety of observational studies to describe and document the epi-demographic transition in Africa. This work draws on expertise in demography, sociology, epidemiology, linguistics, statistics/biostatistics, and computer science.
Statistics, Informatics - Biomedical, Modeling - Predictive, Algorithms, Systems - Building and evaluating the performance of computer, Data - Multidimensional, Data management, Learning - Statistical, Measurement, Systems - Database, Analysis - Duration, Analysis - Multivariate, Analysis - Survey, Biostatistics, Informatics - Health, Informatics - Public health, Computing - Statistical, Statistics - Bayesian, Statistics - Nonparametric, Statistics - Spatial and spatio-temporal, Survey sampling, Time series, Analytics - Spatial, Applied probability, Demography, Econometrics, Healthcare utilization, Epidemiology - Spatial
PhD, Demography, University of Pennsylvania
MA, Demography, University of Pennsylvania
BS, Biology, California Institute of Technology
BS, Engineering and Applied Sciences, California Institute of Technology
National Institutes of Health
Bill and Melinda Gates Foundation
Wellcome Trust
World Health Organization
U.S. Agency for International Development