Fabian Schläpfer is a data scientist based in Zurich with 10 years of experience blending programming, statistics and machine learning to solve interdisciplinary problems. After a PhD at ETH Zurich in experimental attosecond and solid-state physics—where he led complex setups, automated data acquisition, and published multiple first-author papers—he transitioned to applied data science roles at Sanitas and currently at Unique. He excels at turning large, messy datasets into actionable insights and presenting technical results clearly to non-specialists. His background in experimental automation and simulation gives him an edge in designing robust, reproducible data pipelines and instrumentation-aware models. Colleagues value his structured, solution-oriented approach and curiosity for deep, research-driven challenges.
10 years of coding experience
3 years of employment as a software developer
Doctor of Science, Physics, Doctor of Science, Physics at ETH Zürich
Master's degree, Physics, Master's degree, Physics at ETH Zurich
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