Data Science for Health & Psychology
We study individual- and community-level health behaviors across cultures and languages using natural language processing and machine learning methods with a focus on uncovering heterogeneity and disparities.
We utilize machine learning, deep learning, and natural language processing methods to uncover insights about health attitudes, behaviors, and outcomes, with a particular focus on health disparities and mental health and wellbeing.
Current project topics include global mental health, vaccine acceptance, and firearms safety. Priorities include digital mental health, cultural and racial heterogeneity in health behaviors and outcomes, and developing precision public health messaging.