Elaine O. Nsoesie
Faculty Affiliate
she/her
Elaine has expertise applying data science methods to global health problems.
Elaine O. Nsoesie is an Associate Professor at Boston University’s School of Public Health. She has expertise applying data science methods to global health problems, focused on developing approaches and technology that use data from non-traditional data sources for public health surveillance and to advance health equity. She is currently developing approaches that combine artificial intelligence methods and data from disparate sources to study racial health inequities. Previously, she led the Racial Data Tracker project at Boston University's Center for Antiracist Research and served as a program lead and a senior advisor to the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program at the National Institutes of Health. Dr. Nsoesie holds a Ph.D. in computational epidemiology, a master’s degree in statistics from Virginia Tech, and a bachelor’s degree in mathematics from the University of Maryland, College Park. She was born and raised in Cameroon.