P.D. Soros Fellowship for New Americans

DAVID N. RESHEF spent his early childhood in Israel and Kenya, where his parents worked in medicine and public health, before moving to the US. He went on to study computer science at MIT and did research in machine learning and statistics. After graduating, he spent two years at Oxford as a Marshall Scholar, where he was awarded a DPhil in statistics.

David has spent time working on public health initiatives in India, Zambia, and Peru. These experiences inspired him to co-found the MIT Global Poverty Initiative and to co-organize a major international conference on development. As a computer scientist and statistician, he has worked on developing automated methods for the diagnosis of malaria, a high-throughput muscle membrane repair assay for muscular dystrophy, and a software platform for analyzing and visualizing the spread of infectious diseases which has been used by the CDC, the Clinton Foundation, the NIH, and the Harvard School of Public Health. His research is focused on developing novel statistical methods for uncovering and characterizing both associative and causal structure in high-dimensional data, with an emphasis on applications in health care.