Fabian Schläpfer
Data Scientist
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolFabian 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 ZürichMaster's degree, Physics, Master's degree, Physics at ETH Zurich
Github Skills (19)
reinforcement-learning8
algorithms8
callback7
functional-reactive-programming6
reflex-dom6
qt6
haskell5
reactive5
persistent4
frp4
dom4
html4
pure-function3
maxmind3
compiler3
Programming languages (4)
Github contributions (5)
rdit-ch/itemframework
Jul 2016 - Feb 2017
A Qt-based application framework that allows users to define units and control the flow of data between them.
Contributions:30 commits, 5 PRs, 7 pushes in 6 months
qt
fschlaepfer/apf
Mar 2016 - Dec 2016
Contributions:14 pushes, 1 branch in 8 months
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