Natacha Galmiche

Natacha Galmiche serves as an Assistant Professor in the Department of Informatics at the University of Bergen's Faculty of Science and Technology. Her research bridges computer science with atmospheric and oceanic sciences to develop advanced data analysis techniques for weather and climate prediction.

Her primary research focuses on machine learning and topological data analysis applied to ensemble weather forecasting, specifically addressing multimodality challenges where traditional ensemble methods fail to capture distinct likely outcomes. She develops graph-based clustering approaches with novel cluster life span concepts to enhance uncertainty representation in extreme weather events.

Publications from 2019-2021 demonstrate consistent innovation in climate informatics, combining sparse data reconstruction techniques with multimodal analysis frameworks. Her work reveals strong interdisciplinary trends merging computer science methodologies with practical meteorological applications.

Galmiche actively collaborates within the Center for Data Science (CEDAS) project, working alongside researchers from informatics, geophysics, and mathematics departments. This interdisciplinary team applies cutting-edge data science to climate modeling challenges through the University of Bergen's research infrastructure.