Michaela Wenner
Scientific Associate
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMichaela Wenner is a climate-focused data scientist and scientific associate with 10 years of experience blending geophysics, machine learning, and data governance to improve transparency in environmental finance. With a PhD in Environmental Seismology from ETH Zurich and prior roles building Data Science and BI functions at First Climate, she translates complex time-series and signal-analysis expertise into actionable insights for carbon and disaster-risk finance. At the Swiss Agency for Development and Cooperation she works on OECD/UNFCCC/CBD reporting, AI use cases, and open-data initiatives, championing institutional transparency and data quality. She combines rigorous academic training with hands-on automation and visualization skills (Power BI, RPA) to drive digital transformation in policy-relevant settings. Notably, her background in automated seismic hazard detection informs a methodical, data-driven approach to validating climate finance instruments.
10 years of coding experience
2 years of employment as a software developer
Ludwig Maximilian University of MunichDoctor of Science, Environmental Seismology, Doctor of Science, Environmental Seismology at ETH ZürichMaster of Science (M.Sc.), Geophysics and Seismology, Master of Science (M.Sc.), Geophysics and Seismology at Institut de Physique du Globe de Paris
Github Skills (3)
javascript2
nodejs2
mongodb2
Programming languages (1)
Github contributions (5)
michaelawenner/Automatic_classification_Bondo
Feb 2020 - Jan 2021
Contributions:1 release, 6 commits, 4 pushes in 11 months
michiwenner/obspy
Feb 2017 - Feb 2017
Contributions:2 pushes in 1 day
seismologypythontoolboxpython-toolboxobspy
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