Services

I help research organizations, policy groups, and nonprofits turn complex data into clear, defensible insights — from evaluation design to final deliverables. My niche is spatial and regional economic-impact analysis and health-economics burden modeling for agencies, foundations, and health systems.

How it works

  1. Intro call

    A free 30-minute call to understand your question, your data, the timeline, and any constraints.

  2. Scoped proposal

    A short written proposal with the approach, deliverables, timeline, and a fixed price — no surprises.

  3. Analysis

    Transparent, reproducible work with checkpoints along the way so you stay in the loop.

  4. Deliverable & walkthrough

    Final memo, model, or visuals — plus a live walkthrough and the documented code behind it.

Selected work

Economic burden of mental health & substance use disorders

NORC at the University of Chicago · 2026

Co-authored the national economic-burden estimate ($107.3B/yr) with regional detail for the Heartland and Arkansas — used to inform mental-health policy and funding conversations.

Economic contributions of medical residencies

Heartland Forward · 2025

Modeled that adding 275 residents over six years could generate roughly $465M in economic activity — analysis that supported $7.5M in state graduate-medical-education funding.

What I can help with

  • Economic & policy analysis
    Program evaluation, impact assessment, and translating findings for stakeholders and funders.
  • Data analytics & visualization
    Interactive dashboards, grant reporting, and exploratory analysis that supports decision-making.
  • Spatial & regional analysis
    Community mapping, service-area analysis, and regional economic comparisons.
  • Reproducible workflows
    Transparent methods, documented pipelines, and outputs ready for peer review or audits.

Typical deliverables

  • One-page memo or briefing deck
  • Clean dataset + code (Python/R) with README
  • Visualizations (maps, charts) + interpretation
  • Model outputs + sensitivity checks

Tools

  • Python (pandas, geopandas, scikit-learn)
  • R (tidyverse, sf)
  • Stata / SQL
  • GitHub for reproducibility

Engagement & pricing

Structure: Project-based, scoped to a fixed written proposal after a free intro call.
Timeline: Agreed up front in the proposal and matched to your deadline.
Pricing: A fixed project fee scoped to your budget, with an hourly option for smaller analyses.
Availability: A limited number of engagements at a time, alongside my doctoral research.

Consulting work is independent of my role at the University of Arkansas.