Telehealth & Cancer Care Access
Mapping digital divides and telehealth infrastructure for cancer care across the United States.
Research that turns interpretable spatial AI into decisions about cities, health, and climate.
Mapping digital divides and telehealth infrastructure for cancer care across the United States.
Physics-informed graph learning for spatially contiguous, capacity-constrained hospital catchments (PG-MST).
Reconciling 2SFCA and i2SFCA via distance-decay parameterization for fair access measurement (R2SFCA).
An ensemble framework for interpretable, place-aware geospatial machine learning (XGeoML).
Delineating urban regions and cross-boundary collaboration in China via network community scanning.
Multi-constraint Monte Carlo interpolation of cancer incidence to fine spatial units.