Radley Ciego

Data Engineering · Causal Inference · Geospatial Research

R&D Geospatial Data Engineer at Oak Ridge National Laboratory · MS Geoinformatics at CUNY Hunter College

I build data infrastructure for research at the intersection of critical infrastructure, urban systems, and empirical policy analysis. My work combines production-grade data engineering with rigorous causal identification strategies.

Research & Projects

Power Outage Detection via Traffic Patterns
Novel method using GPS probe vehicle data to detect distribution-level power outages by identifying anomalous driver behavior at dark traffic signals. Intersection-anchored causal inference with matched control design. CUNY Hunter / ORNL.
Causal InferenceSpatial AnalysisPythonOSMnxScikit-learn
Mobility Resilience Under Extreme Weather
Difference-in-Differences framework treating extreme precipitation as a natural experiment to estimate demand shocks on NYC rideshare volume. Automated pipeline processing 100M+ trip records with NOAA weather integration and equity stratification.
DiDXGBoostPolarsNOAASHAPEquity Analysis