A Python package for causal inference using Synthetic Controls
A PyTorch implementation of the "robust" synthetic control model
AI-assisted program evaluation engine for small healthcare orgs: naive vs adjusted estimates side by side, every correction documented, every limitation stated. Statistics decide; AI assists.
Public-sector analytics capstone using 239,110 NH assessment records to benchmark Manchester outcomes and identify support priorities.
UMAPS data project that cleans, standardizes, and visualizes alumni and participation records to support program reporting, strategic planning, and institutional memory.
Reusable governance and delivery toolkit for applied research and evaluation, including charters, work plans, risk controls, and stage gates.
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