Lisa Neef
Scientist Agricultural Meteorology at Deutscher Wetterdienst
Offenbach am Main, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolLisa Neef is a scientist in agricultural meteorology at the German Weather Service with 10+ years of experience applying data assimilation, forecasting and model-constraining techniques to operational weather products for states, municipalities and farmers. Trained as a PhD in atmospheric physics, she has a strong track record across Helmholtz centres, KNMI and GEOMAR developing assimilation frameworks, uncovering subtle model biases, and integrating unconventional observations like lightning and Earth-rotation signals into forecasts. She writes production Python (and occasional Fortran), builds visualization and assimilation tools, and bridges predictions with in-situ measurements to improve mid-range to seasonal outlooks. Notably, her work has shown that integral, indirect observations can both reveal precursors to stratospheric events and pose unique challenges for high-dimensional dynamical models.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Atmospheric Physics and Dynamics, Doctor of Philosophy (Ph.D.), Atmospheric Physics and Dynamics at University of TorontoBachelor’s Degree, Physics, Magna Cum Laude, Bachelor’s Degree, Physics, Magna Cum Laude at Valparaiso University
English, German, DutchGithub contributions (5)
LisaNeef/DARTpy
Jul 2015 - Jan 2017
Contributions:410 commits, 61 pushes, 1 branch in 1 year 5 months
LisaNeef/Data-Assimilation-Practicals-Matlab
Jul 2015 - Jul 2017
Contributions:20 commits, 8 pushes, 1 branch in 2 years
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.