Dr. Uejio's research develops novel societal determinants of health datasets. His team is constructing the nation's first property-level residential housing quality dataset using property records and explainable machine learning (XGBoost/SHAP) for nationwide estimates. They also map local Adverse Childhood Experiences (ACEs) using electronic health records.

Dr. Li is an assistant professor in the Department of Geography and the Spatial Data Science Center at FSU. His research focuses on the methodological development of geospatial AI and explainable AI (XAI), including the GeoShapley method. A recipient of the Alan Turing Institute Postdoctoral Enrichment Award, he recently received an NVIDIA Academic Grant to advance research on geospatial foundation models.