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Health Law · Legal Epidemiology

Laws change health outcomes.
I measure by how much.

Legal epidemiology is the scientific study of law as a determinant of health — treating a statute the way an epidemiologist treats any other exposure. When a state changes a prescribing limit, mandates naloxone access, or alters telehealth payment parity, that is an intervention applied to a population, and its effect can be estimated.

I work with legal teams, regulators, policy organisations, and advocacy groups who need that estimate to be defensible — not a correlation dressed up as a finding.

Legal Epidemiology Fellow · Temple CPHLR PharmD · PhD Epidemiology 100,000+ citations h-index 84 Causal inference & quasi-experimental methods

Where I Help

Policy · Litigation · Regulation

Legal questions and epidemiologic questions are rarely phrased the same way. Most of the value in this work is in the translation: turning "did this law work" or "did this exposure cause this harm" into a question the data can actually answer, and being clear about what remains outside its reach.

Policy impact evaluation

Did the law do what it was meant to do? Staggered adoption across states is a natural experiment, and the methods for exploiting it are well established — when applied carefully.

  • Difference-in-differences using policy timing variation
  • Interrupted time series and synthetic control designs
  • Opioid prescribing limits, naloxone access, Good Samaritan statutes
  • Telehealth parity and scope-of-practice changes
  • Pre-specified analysis to prevent outcome shopping

Causation assessment

General and specific causation rest on different evidence and are often conflated. I assess each on its own terms and state plainly where the evidence stops.

  • Weight-of-evidence evaluation against Bradford Hill criteria
  • General causation: does this exposure cause this outcome at all
  • Specific causation: attribution frameworks for individual claims
  • Dose-response, latency, and biological plausibility review
  • Explicit treatment of confounding and alternative explanations

Independent evidence review

A senior read of an opposing analysis, a regulatory submission, or a study being relied on — written so it can be circulated internally and used.

  • Critique of opposing epidemiologic reports
  • Identification of design flaws, bias, and overreach
  • Assessment of whether conclusions follow from the data
  • Plain-language explanation of technical vulnerabilities
  • Prioritised findings rather than an undifferentiated list

Regulatory & legislative support

Evidence assembled for bodies that must act on it — written for decision-makers rather than reviewers.

  • Evidence briefs for legislative and agency use
  • Systematic synthesis of the available literature
  • Health impact estimates for proposed policy
  • Surveillance design to monitor a policy after enactment
  • Technical review of proposed regulatory language

How an Engagement Runs

01
Scope the question

We separate what the law asks from what the data can answer, and agree what a defensible finding would look like.

02
Pre-specify

Design, outcomes, and analysis are fixed in writing before analysis begins — the single strongest defence against a credibility challenge.

03
Analyse

Estimation with sensitivity analyses and explicit treatment of the assumptions the result depends on.

04
Report

A written product stating the finding, its uncertainty, and its limits — in language that survives cross-examination.

If you have a matter that turns on epidemiologic evidence, get in touch.

You don't need a formal brief to start. Describe the question in a few sentences and I'll tell you honestly whether the evidence can support what you need, and what it would take to find out.

If it isn't a fit, I'll say so directly — and where I can, point you to someone better placed. There's no obligation in asking.

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Follow the work on LinkedIn I post analysis on health policy evidence, drug safety, and digital epidemiology — usually before it reaches a journal.