As an epidemiologist, I want to explore how AI can be applied responsibly to real-world challenges. At Hack{ai}thon Bern I hope to experiment with tools, collaborate across disciplines, and test ideas that balance innovation with privacy and trust.

Branwen Owen
Branwen

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I like to call myself a “full-stack epidemiologist” (even if that’s not officially a thing). I have a PhD from Imperial and experience turning complex data into clear insights for public health and policy. I work across data analysis, mathematical modeling, and enjoy making science understandable through visualization and communication. I thrive in collaborative projects where I can translate evidence into practical, actionable recommendations.

I'm currently on a mission to learn what the AI revolution means for epidemiology and public health.

🦾 Skills
R data analysis data visualisation mathematical modelling vibe coding AI agents science communication evidence for policy
🎋 Aims
hands-on AI prototyping applied machine learning for health data integrating epidemiological reasoning into AI prompt engineering working with unstructured data rapid iteration interdisciplinary collaboration