Laura Crocetti is a Ph.D. student at ETH Zurich and part of the Chair of Space Geodesy. She received her bachelor’s and master’s degrees in Geodesy and Geoinformation at TU Wien. During her studies, she worked in the Climate and Environmental Remote Sensing research group, where she gained knowledge of satellite data and machine learning (ML). After her studies, she started a Ph.D. in the same group during which she established a drought monitoring and prediction framework and investigated the impact of climatic oscillations on precipitation in the Mediterranean area. After one year, she got the opportunity to start a Ph.D. at ETH Zurich in the field of space geodesy. There, she is driving innovative research for the application of ML for space geodesy, with a focus on the detection and analysis of spatio-temporal patterns linked to geophysical phenomena using Global Navigation Satellite Systems (GNSS). Her passion is to work on the important topics of today’s society using novel ML techniques. She developed a framework to detect earthquakes in GNSS measurements and created a global model for atmospheric water vapour, important for weather monitoring and forecasting. Now, her focus is to understand the link between GNSS observations and geophysical phenomena described by Earth observation data.
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