Global Tech UpliftLinking Intelligence
Population Analytics
Led at Boston Children's Hospital. Co-authored a globally comprehensive human-movement typology using anonymized smartphone location data with differential-privacy protections.
Billions of GPS location records from mobile apps are consolidated into a unified system.
Differential-privacy algorithms add calibrated noise to outputs to prevent re-identification.
Movement flows are computed by region using spatial indexing and clustering techniques.
Patterns are quantified through models, e.g. power-law decay curves for travel-distance relationships.
Processed metrics are released via public repositories and interactive dashboards for researcher access.
Published in Nature Human Behaviour (2020, 146 citations); showed movement declines 40% faster in low-income regions, informing global epidemic modeling.