She earned her PhD in Biostatistics from the University of California, Berkeley and completed her post-doctoral studies at the Harvard T.H. Chan School of Public Health. Laura is a methodologist with substantive interests in global health, community-based participatory research, and social determinants of health. Her particular areas of expertise are Causal Inference and Machine Learning. She is the Principal Statistician for the SEARCH trial, a 320,000-person community randomized trial to evaluate a bold strategy for HIV testing and treatment in rural Uganda and Kenya (NCT01864603). Laura is also passionate about teaching introductory and advanced causal and statistical methods. Jointly with Dr. Maya Petersen, she was awarded the 2014 ASA�s Causality in Statistics Education Award.