{"id":1251,"date":"2026-04-13T17:27:06","date_gmt":"2026-04-13T15:27:06","guid":{"rendered":"https:\/\/wp.unil.ch\/atmos\/?page_id=1251"},"modified":"2026-04-13T17:52:36","modified_gmt":"2026-04-13T15:52:36","slug":"maria-pyrina","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/atmos\/maria-pyrina\/","title":{"rendered":"Maria Pyrina"},"content":{"rendered":"\n
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Contact: maria.pyrina@unibe.ch<\/a><\/p>\n<\/blockquote>\n\n\n\n

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Professional Profile:<\/strong><\/p>\n\n\n\n

Maria Pyrina is a postdoctoral researcher in Daniela Domeisen\u2019s group at ETH Zurich (2021\u20132026), which included an appointment at UNIL (2023\u20132024) for the HEATaware project. In May 2024, she joined the Forecast and Services Department at ECMWF as a Scientist. In March 2026, she transitioned to the University of Bern, where she currently works as a Data Manager in the Climate Epidemiology and Public Health group, at the Institute of Social and Preventive Medicine (ISPM).<\/p>\n<\/div>

\"mariapyrina<\/figure><\/div>\n\n\n\n

Research and Technical Expertise:<\/strong><\/p>\n\n\n\n

Maria Pyrina has a scientific background in physics and atmospheric sciences. She has contributed to the Destination Earth initiative at ECMWF, focusing on process-based verification of surface variables in kilometre-scale global forecasts, including both numerical weather prediction (NWP) and AI-driven models. During her postdoctoral career at ETH Zurich and CSCS Zurich, she investigated remote drivers of extreme temperature and drought events, assessed deterministic and ensemble forecast skill, and developed AI algorithms for subseasonal to seasonal weather and climate prediction, as well as for forecast downscaling over Switzerland. She also contributed to the transdisciplinary project HEATaware (University of Lausanne) on predicting heat-related mortality by coupling a statistical temperature-mortality model to extended-range temperature forecasts. Her PhD research centered on the application of statistical methods to reconstruct paleoclimate conditions over the last millennium, alongside evaluations of CMIP simulations and paleoclimate models.<\/p>\n\n\n\n

Key Expertise Areas:<\/strong><\/p>\n\n\n\n