Mai Winstrup
Senior Researcher at DTU Space
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolMai Winstrup is a senior researcher based in Copenhagen with 11 years’ experience applying physics and geophysics to develop mathematical models, statistical algorithms and machine-learning methods for interpreting large, complex datasets. She has a strong track record in remote sensing and ice-core analysis, notably developing and applying the StratiCounter algorithm for automated annual-layer detection and timescale construction. Her work spans image processing, pattern recognition and event-detection for problems from sea-ice monitoring to freak-wave prediction, bridging academic research and operational meteorological practice. Known for turning high-resolution observational data into robust, reproducible analyses, she brings both algorithmic rigor and practical domain expertise to interdisciplinary teams. An often-overlooked strength is her experience translating scientific outputs into policy-relevant synthesis, having contributed to EU-level climate research guidance.
11 years of coding experience
11 years of employment as a software developer
M.Sc., Physics/Geophysics, M.Sc., Physics/Geophysics at Københavns Universitet
Danish, English, French, Spanish, German
Github Skills (11)
snow9
modeling8
snowpack7
journal4
digital-elevation-model4
creative-commons3
python3
open-access3
academia3
counting3
geospatial3
Programming languages (2)
Github contributions (5)
maiwinstrup/StratiCounter
Dec 2014 - May 2016
Contributions:11 releases, 82 commits, 1 PR in 1 year 5 months
paleoclimatecounting
maiwinstrup/SICCI
Jan 2018 - Apr 2018
Contributions:8 commits, 5 pushes, 1 branch in 3 months
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