Loris Foresti
Scientific Collaborator
Locarno, Ticino, Switzerland
Summary
👤
Senior🎓
Top SchoolLoris Foresti is a scientific collaborator and technical lead with nine years of experience building operational meteorological systems and leading cross-disciplinary teams at MeteoSwiss. He combines hands-on development in Python, C++ and operational automation (AUTO METAR) with product ownership and project management, guiding a mixed team of scientists and software engineers. His research background includes a PhD in geosciences and pioneering work on probabilistic nowcasting, ensemble Kalman filtering, and stochastic precipitation forecasting (NowPrecip, pysteps). Loris has delivered operational radar-based nowcasting systems and run remote sensing campaigns, bridging R&D and production for aviation and hydrology use cases. He also supervised academic projects and a PhD, evidencing his ability to translate advanced research into robust, real-world forecasting products. Based in Locarno, Switzerland, he uniquely blends alpine-focused machine learning and geostatistics with operational meteorology.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Geosciences and Environment, Doctor of Philosophy (Ph.D.), Geosciences and Environment at University of Lausanne (Switzerland)
English, French, Italian, German, ticinese dialect
Github Skills (15)
fftw10
spec10
fft10
hydrology10
spectrum10
python10
spectra10
frequency-analysis10
spectral10
numpy10
data-analysis10
visualizations9
visualization9
optical-flow7
weather7
Programming languages (1)
Github contributions (5)
meteoswiss-mdr/precipattractor
Jul 2016 - Jul 2018
Contributions:63 commits in 2 years
pySTEPS/pysteps.github.io
Jun 2018 - Jul 2020
website for the pySTEPS initiative
Contributions:1 PR, 58 pushes, 2 branches in 2 years 1 month
pythoninitiative
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