615 N. Wolfe St.
Baltimore , Maryland
My background is focused on statistical and quantitative research methodology in public health, including longitudinal and incomplete data, semi-parametric models, categorical data, clustered data, survival analysis, multiple imputation, and the EM algorithm. I am driven principally by statistics in the service of international health research. My current projects include modeling child mortality and the associations among infectious diseases, especially diarrhea and pneumonia relating to child health. In global health and for underserved communities, what drives research and ultimately influences policy is founded on principals and assumptions that are quantitatively demonstrable. I believe quantitative methods serve public health by facilitating evaluation and objectivity. Likewise, I hope to contribute to the health of global communities through statistical application in the collaborative research environment.
international health, biostatistics, longitudinal data, missing data, child mortality, statistical epidemiology, diarrhea, child health