"Let’s move forward with love, not conquest; humility, not righteousness; generous curiosity, not hardened assumptions. It is a magnificent thing to be alive in a moment that matters so much. Let’s proceed with broken-open hearts, seeking truth, summoning courage, and focused on solutions.”

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This page highlights my applied research and data analytics work, grounded in equity-centered methodology and methodological repair. Projects span mixed-methods evaluation, inclusive demographic measurement, survey redesign, and advanced visualization. Where conventional instruments flatten identity or reproduce harm, my work seeks alternatives.

🔹  What We Do

• Inclusive instrument & survey design (e.g., SOGI, disability, immigration status)
• Demographic framework auditing and redesign (IPEDS, LSC, IOLTA, etc.)
• Unstructured data pipelines (free-text → one-hot encoding → GPT modeling)
• Intersectional and disaggregated trend analysis
• Data visualization & narrative deliverables (e.g., dashboards, briefing books)

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How We Work

Our data approach is not extractive or passive — it is participatory, iterative, and equity-rooted. We learn about and use tools that do not foster white supremacy or extractive research methodologies.

• 🧱 Foundational practices

  • Data decolonization
  • Anti-racist statistical frameworks
  • Trauma-informed handling of demographic data

• 🔁 Workflow

  1. Question design (or audit existing)
  2. Structural bias assessment
  3. Inclusion pathways + exclusion consequences

  flowchart TD
      A["Data Collection Process"] --> B{"Inclusion/Exclusion Analysis"}
      
      B --> C["Inclusion Pathways"]
      B --> D["Exclusion Consequences"]
      
      C --> C1["Who is brought in?"]
      C --> C2["Why are they included?"]
      C --> C3["How are they represented?"]
      
      D --> D1["Who is left out?"]
      D --> D2["Why are they excluded?"]
      D --> D3["What are the impacts?"]
      
      C1 --> E["Representational Justice"]
      C2 --> E
      C3 --> E
      D1 --> F["Data Equity Assessment"]
      D2 --> F
      D3 --> F
      
      E --> G["Recommendations for Inclusive Data Practice"]
      F --> G
      
      %% This diagram shows the assessment process for understanding who is included or excluded in data collection
      %% and the consequences of these structural decisions for equity outcomes
  

  1. Visual + narrative deliverable development

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Explore Our Process