Selected Works
A geospatial study with the City of Charleston exploring whether a network of sensors can reliably predict train crossing delays across the city. The project maps complex topography to model signal propagation and establishes ROI benchmarks for hardware investment.
A policy framework guiding the NYC Department of Education's adoption of AI tools across 1,500+ public schools. The work defines technical procurement criteria, security guardrails, data privacy standards, and more for evaluating vendor software at district scale.
A computational framework for analyzing alignment between legislative text and urban policy outcomes. Developed natural language processing pipelines to quantify semantic similarity between bill proposals and enacted city ordnances, revealing gaps in political representation.
An AI-powered robotic tutoring platform that translates GPT-4 outputs into pedagogical interactions. The system pairs carefully designed prompts with a physical robot, validated through longitudinal classroom field tests with K-5 students.
The Charleston Project
A geospatial study with the City of Charleston exploring whether a network of sensors can reliably predict train crossing delays across the city. The project maps complex topography to model signal propagation and establishes ROI benchmarks for hardware investment.
- Python
- Geospatial Modeling
- Sensor Data
- City Partnership