I am a methodologist with substantive interests in global health, community-based participatory research, and social determinants of health. My particular areas of expertise are Causal Inference and Machine Learning. My research has focused on challenges that arise when making causal inferences with clustered and longitudinal data, which are often subject to complex measurement, missingness, and dependence. I am the primary statistician for two cluster randomized trials: the SEARCH study for HIV prevention in East Africa and the SPIRIT study for TB prevention in Uganda. Overall, my research is informed by cross-disciplinary real-world problems and aims to ensure methodological advances in Academia translate into real-world impact.