Carlsbad, California
Healthcare economics, forecasting & applied AI.
I build coverage forecasts, market models and AI tools for health policy and product strategy. My experience spans UnitedHealth Group, state government and an independent software application.
Selected work
Forecasts for planning. Analysis for policy. Software for people.
Coverage forecasts and state Medicaid scenarios for enterprise planning, with national projections used as baselines for the 2023 and 2024 investor conferences.
Read work brief 02 / Health policyAn independent estimating process and more than 30 healthcare fiscal notes connecting enrollment, policy and state budget implications.
Read work brief 03 / Applied AIA creative-fiction application bringing language models, retrieval and persistent narrative memory into an ongoing writing experience.
Read work briefExperience
Browse by organization or subject. Dates identify the role; specific project milestones are noted in each entry.
Developed national coverage forecasts used as baselines for the 2023 and 2024 investor conferences and strategic briefings.
Modeled transitions among Medicaid, Medicare, employer coverage and individual plans, including state differences and substitution effects.
National coverage projections and state Medicaid redetermination scenarios for enterprise planning.
Built addressable, serviceable and obtainable-market models for healthcare products, including payment integrity, to support product strategy and client presentations.
Combined plan enrollment, per-member economics, survey findings and product constraints in Excel models.
Market-opportunity estimates, product-strategy consultation models and client presentation materials. The models distinguished the total market from the portion reachable under product and contract constraints.
Led a four-person research team evaluating more than two dozen proposed healthcare AI products.
Assessed addressable and obtainable markets across concepts in claims processing, data retrieval, clinical transcription and computer vision.
Market assessments and executive presentations on coverage and policy trends for consultants, researchers and executives.
Built and deployed an Azure-based research assistant in Microsoft Teams for product-sizing questions from sales and growth teams.
Connected a curated collection of product and market documents through Azure AI Search and Prompt Flow.
A retrieval-based research application integrated into the product-sizing workflow and delivered through Microsoft Teams.
Designed Tableau dashboards for internal sales and product teams to examine payer enrollment and coverage-market dynamics.
Connected the dashboards to managed SQL data and maintained a quarterly refresh process.
A recurring analytics resource covering payer enrollment and market changes for internal decision support.
Established independent Medicaid cost and caseload conferences whose estimates informed state budget appropriations.
Built forecasting methodology and data infrastructure, and worked through estimates with executive-branch stakeholders.
A recurring estimating process connecting Medicaid cost and caseload projections with state budget appropriations.
Produced and defended more than 30 fiscal notes on proposed healthcare legislation.
Analyzed Medicaid eligibility, provider reimbursement and occupational licensing; briefed legislators on enrollment, cost drivers and federal funding changes.
Fiscal notes and legislative committee presentations during the federal Public Health Emergency.
Modeled proposed health-benefit changes and investigated retiree drug-subsidy calculations.
Examined benefit scenarios involving travel surgery, telehealth and provider scope of practice.
Benefit-cost models, stakeholder discussions and vendor-procurement work supporting subsidy appeals.
Develop and operate a creative-fiction application using language models, retrieval and persistent narrative memory.
Build application interfaces and backend integrations with React, Node and PostgreSQL, including authentication, payments and model integrations.
An operating creative-fiction application with ongoing product and engineering development.
Designed a pilot comparing an expert working with AI against an autonomous agent, using shared context and anonymous human review.
The proposed comparison gives both approaches a shared brief and resources, with reviewers evaluating anonymous outputs.
A published pilot protocol and illustrative review interface. The study is preparing its first round; no completed-study findings are claimed.
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