Fatima Pillosu
Visiting Scientist at European Centre for Medium-Range Weather Forecasts
Reading, England, United Kingdom
Summary
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Senior🎓
Top SchoolFatima Pillosu is a hydro-meteorologist and PhD candidate at the University of Reading who blends eight years of academic and operational research experience to improve medium-range forecasts for extreme rainfall, floods, droughts and heatwaves. As a Visiting Scientist at ECMWF she helped operationalize the ecPoint probabilistic post-processing technique and continues to verify its value globally, translating advanced statistical methods into actionable forecasts for anticipatory disaster response. Her work bridges numerical weather prediction, machine learning and hydrology, with a focus on flash-flood risk mapping across continuous global domains up to day 10. Known for clear science communication and technical blogging, she also serves as a Climate Ambassador advocating community preparedness. A less obvious strength is her track record of moving ideas from localized field studies—such as long-term Sardinia rainfall analyses—to scalable, operational tools used by international meteorological services.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Hydrometeorology, Doctor of Philosophy - PhD, Hydrometeorology at University of ReadingMaster's degree, Civil Engineering - Hydraulics, Second Class Honour - Upper Division, Master's degree, Civil Engineering - Hydraulics, Second Class Honour - Upper Division at Università degli Studi di Cagliari
Spanish, Italian, English, German, French
Github Skills (11)
calibration10
noaa9
forecast9
meteorology9
prediction-model9
prediction9
verification8
weather8
python7
forecasts4
decision-tree4
Programming languages (3)
Github contributions (5)
FatimaPillosu/Template_Metview_Python_JupyterNB_Binder
Dec 2019 - May 2022
Contributions:1 release, 36 pushes, 1 branch in 2 years 5 months
FatimaPillosu/OperUse_ecPointRainfall
Nov 2020 - Nov 2023
Contributions:2 releases, 124 pushes, 87 branches in 3 years 1 month
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