Applied epidemiology and biostatistics for rigorous population health analysis, modeling, and decision support. Reproducible code, transparent methods, and defensible results.

I am a senior epidemiologist and applied data scientist with over 20 years of experience working at the intersection of population health, analytics, and public policy. My career has focused on using rigorous quantitative methods to understand disease burden, evaluate programs, and support evidence-based decision making in complex, real-world settings.

Professionally, I have worked across cancer surveillance, chronic disease epidemiology, tobacco control, stroke systems of care, Alzheimer’s disease research, and health care reimbursement analysis. Much of my work has involved large administrative and registry datasets, record linkage, statistical modeling, forecasting, and economic burden analysis. I am especially drawn to projects where methodological rigor, transparency, and defensibility matter, such as policy analysis, surveillance systems, and high-stakes evaluation work.

I value clarity over complexity for its own sake. While I routinely use advanced methods, including regression and survival models, Bayesian approaches, Monte Carlo simulation, and reproducible coding pipelines, my goal is always to produce results that can be understood and used by decision makers, not just statisticians. I believe good analysis should be technically sound, well documented, and honest about uncertainty.

My interest in this work is both professional and personal. Over the years, I have supported friends and family through serious illness, which reinforced for me how important it is that data and analysis ultimately serve people, systems, and communities. That perspective shapes how I approach projects, with care for both the technical details and the real-world implications.

Outside of work, I enjoy mentoring early-career analysts and public health students, thinking about how to translate complex ideas clearly, and building tools that make rigorous analysis more accessible. I approach consulting as a collaborative process and value clear communication, realistic scoping, and mutual respect.

I do not provide medical advice or clinical recommendations. My role is to bring strong epidemiologic reasoning, biostatistics, and data science skills to projects that require careful analysis, reproducible methods, and thoughtful interpretation.

Work Terms

Hours of Operation
I am generally available Monday through Friday during standard Pacific Time business hours. I can accommodate meetings outside these hours with advance notice, especially for clients in other time zones.

Engagement Structure and Payment Terms
I work on both hourly and fixed-price projects, depending on scope and client preference. For fixed-price work, I require a clearly defined scope and deliverables before starting. Larger projects may be divided into milestones with staged payments. All work is billed through the Guru platform in accordance with its payment and escrow policies.

Scope and Revisions
I place a strong emphasis on clear scoping at the outset of a project. This helps ensure timelines, deliverables, and expectations are aligned. I have a reasonable clarification and refinement, but substantial changes to scope, data sources, or analytic objectives may require a revised agreement.

Preferred Communication Style
I value clear, structured communication. I am most effective when project goals, constraints, and decision needs are articulated early. I am happy to communicate via Guru messages, email, or scheduled video calls, depending on the project. Written summaries are often helpful for complex analytic discussions.

Turnaround Time
Turnaround time depends on project complexity, data readiness, and scope. I will always provide an estimated timeline before beginning work and will let you know quickly if constraints or data issues affect delivery.

Professional Boundaries
I provide epidemiologic analysis, biostatistics, modeling, and data science support. I do not offer medical advice, clinical recommendations, or patient-specific guidance. All work is conducted at the population, program, or policy level.

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