The Science of Decision Making

With a B.A. in mathematics and a PhD in cognitive psychology focused on mathematical models of decision making, I study how people make decisions under uncertainty — how we search for information, weigh risks, and choose. Trained at the Max Planck Institute for Human Development, I learned that the best way to fight complexity is with simplicity: that a clean, well-chosen rule often beats a complicated one. That belief now shapes everything I do in healthcare data science: building tools and processes that help people make better decisions from complex data.

Influence: Simple Heuristics that Make Us Smart — Gigerenzer, Todd & the ABC Research Group

From Lab to Clinic

From academic research in Switzerland and Germany to scientific roles at Roche, Flatiron Health, and health technology startups, I've designed solutions and led teams that turn electronic health records, insurance claims, and patient data into actionable evidence. Whether I'm building a tool for scientists or business leaders, the goal is always the same: replace data overload with clear, simple processes that help stakeholders act with confidence.

Influence: The Checklist Manifesto — Atul Gawande

Teaching, Mentorship & Sharing

I believe the best work multiplies. I've taught statistics and data science at international universities, led workshops for industry professionals, and built open-source tools that anyone can freely use without barriers — because knowledge shouldn't stay locked in one team or one analysis.