Genomic Decision Scientist
Decision integrity for reproductive genomic risk.
I design and validate decision aids for probabilistic genetic information, with a focus on polygenic reproductive reports: absolute risk, reference class, uncertainty, within-family limits, and informed choice.
Accurate reports can still mislead.
Polygenic risk information is probabilistic, uncertain, reference-class-sensitive, and easy to misread. A report can be technically correct in every cell and still manufacture confidence and demand.
The open question is not whether the scores compute. It is whether the people reading them understand what the numbers do and do not say, at the moment they make an irreversible decision.
The Decision Integrity Audit
A pre-registered comprehension study for polygenic reproductive reports. It measures whether readers come away understanding a report's claims, caveats, uncertainty, and actionability, or whether the report quietly converts ambiguity into certainty.
DELIVERABLES: a scorecard, comprehension data, and redesign recommendations.
I am looking for academic, clinical, and company design partners. For one design partner, I will scope the protocol on a synthetic or redacted report at no charge.
Decisions under uncertainty, for decades.
Most of my career applied behavioral decision science to financial decision-making, product design, and user research. Stanford PhD in experimental psychology, trained in the Tversky tradition of judgment under uncertainty.
I am now applying the same toolkit to a more consequential class of decisions: reproductive genomic risk.
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