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Health data to decisions

More health data does not help. Better decisions help.

I translate biomarkers, genetics, microbiome, wearables, and multiomics into clear priorities for private clients, companies, and health-tech providers.

One method, three contexts

From complexity to a defensible next step.

The subject changes. The decision logic remains consistent: understand what exists, interpret it in context, and prioritize what should follow.

01

Understand

Which data, constraints, stakeholders, and decisions are actually on the table?

02

Interpret

Which signals are robust, which depend on context, and where is uncertainty material?

03

Prioritize

What matters now, what can wait, and what should be learned next?

Measure, interpret, prioritize, act, and learn: data becomes useful through an explicit decision loop.
Measure, interpret, prioritize, act, and learn: data becomes useful through an explicit decision loop.

Still unsure which path fits?

Thirty minutes are enough to sort the next decision.

Describe the available data or question briefly. I personally assess whether and how I can usefully help.

Request orientation call
Request orientation call