Data and policy analysis for public and mission-driven work.

Predictive models, classification, clustering, and deep learning, plus web scraping and pulling structure out of messy data. From a first exploratory look to pipelines you can run in production.

Program evaluation and causal inference for public and social policy: A/B tests, randomized trials, and quasi-experimental designs.

Building and stress-testing LLM and agent-based tools, and auditing automated decision systems for bias and real-world impact.

Interactive dashboards, publication-quality graphics, and full data applications, front end to database.

Spatial statistics, remote sensing, and GIS: satellite imagery, environmental monitoring, and infrastructure mapping.