Claire Kelley is a senior data scientist at Child Trends, where she conducts and supports research across all program areas. Her primary research interests focus on the intersection of machine learning and social science, particularly in the domains of health and education.
Prior to joining Child Trends, Claire worked as a data scientist at the American Institutes for Research (AIR) and at Merck. At AIR, Claire worked on a variety of data engineering and data science projects and led the data visualization and reporting working group. At Merck, she worked on e-commerce data science, including developing a parallelized system for generating product recommendations and using time series models for forecasting product demand. She holds a bachelor’s degree in statistics from Yale University and a master’s degree in quantitative methods from Columbia University.