Christian Testa

Christian is a PhD Student in Biostatistics focused on applications of causal inference to problems in infectious disease, especially with an eye towards causal inference in observational settings that warrant consideration of spillover effects and other spatiotemporal complexities. He is especially interested in causal inference and estimation strategies that use machine learning or ensemble learners to mitigate the risks of model misspecification. With Chris Golden’s lab, Christian is currently working on quantifying the causal effects of deforestation on malaria incidence rates in Madagascar subject to effect heterogeneity due to ecological zone dynamics under the Climate-Smart Public Health project.