Health Sciences & Technology · ETH Zurich
At the intersection of biomedical research, data, and strategy — making complex systems work in the real world.
Health × Data × Strategy
01 — About
Turning complexity into actionable solutions.
Health × Data × Strategy
ETH Zurich
MSc Health Sciences & Technology
University of Zurich
Minor, BioMed Entrepreneurship
My background is in health sciences, but I’ve ended up doing quite different things with it — lab work, clinical IT implementation, a CHF 20M financing round at a biotech, and building AI-powered tools at hackathons.
Not because I planned it that way. Because I kept saying yes to things that seemed interesting and useful.
I’m good at getting into the detail of something and also stepping back to see the bigger picture. I work well with people from very different backgrounds — researchers, clinicians, engineers, finance. I find the gap between research and actual use genuinely interesting, and most of my work has lived somewhere in that gap.
Looking for a role in biotech, pharma, or digital health — somewhere with both scientific substance and real business decisions happening.
02 — Experience
Supported the data side of a major financing process — pulling together scientific, clinical, and market information for investor decisions. Direct exposure to how a biotech company thinks about its pipeline and capital strategy.
Helped implement a new clinical IT system across the clinic — coordinating between doctors, nurses, IT, and admin. Trained staff through the real-world complexity of healthcare digital transformation.
Built a nanoscale biosensing platform for detecting neurotransmitters — spanning surface chemistry, signal processing, and automated Python data analysis pipelines.
Identified a genetic mutation linked to a rare immune disorder using whole-exome sequencing. Co-authored publication in the Journal of Clinical Immunology.
Designed and tested microfluidic systems with a focus on improving consistency and reproducibility. Careful, iterative hands-on lab work.
03 — Projects
AI-driven clinical data harmonization prototype developed in a 36-hour hackathon for epaSOLUTIONS (1,400+ institutions, 630K users). Transforms fragmented healthcare data into a unified, queryable model. My role: problem framing, clinical domain structuring, and translating requirements into a product concept in collaboration with engineers.
A platform for tracking and visualizing the real-world impact of donations. Dashboards, timelines, and storytelling layers addressing the lack of trust in charitable giving.
Nanoscale electrochemical sensing platform for real-time neurotransmitter detection. Combined surface chemistry with automated Python signal processing pipelines as part of MSc thesis work.
Co-authored peer-reviewed publication identifying a novel mutation linked to a rare primary immunodeficiency, using whole-exome sequencing and bioinformatic analysis.
04 — Beyond work
Not competitively, but seriously. Consistent effort over a long time without needing immediate results — turns out that’s useful in work too.
Different contexts, different problems, different people. I find it genuinely recharging and hard to replicate otherwise.
Reading broadly across biotech, AI, and how complex systems work. Less for credentials, more because I find it hard to stop.
05 — Contact
Based in Zurich. Open to conversations about roles where there’s both scientific substance and real business decisions — somewhere I can learn a lot and contribute properly.