by Tove Kvarnström | May 2, 2024 | LiU 2024 Scholar Period 1
Researcher Lund University As a climate scientist, Wilhelm May has been working on various aspects of climate variability and change, including the Indian summer monsoon or heavy precipitation events. He is especially interested in the coupling between the land...
by Tove Kvarnström | Apr 17, 2024 | LiU 2024 Scholar Period 1
PhD Student University of Valencia Deborah Bassotto has a keen interest in various geoscience topics, particularly when explored through the lens of machine learning. Her research interests span atmospheric and oceanographic physics, ecology, as well as climate...
by Tove Kvarnström | Apr 17, 2024 | LiU 2024 Scholar Period 1, LiU 2024 Scientific Committee, LiU 2024 Speaker
Research scientist SMHI Ramón is a climate researcher at the Swedish Meteorological and Hydrological Institute since 2016. Before, his current position he was a postdoctoral fellow at the International Centre for Theoretical Physics in Trieste, Italy where he carried...
by Tove Kvarnström | Apr 17, 2024 | LiU 2024 Scholar Period 1, LiU 2024 Scholar Period 2
Senior Research Fellow University College London Dr. Dan Giles is a Senior Research Fellow in machine learning for weather and climate science at the Centre for AI in University College London. He acts as a theme lead for UCL’s Met Office Academic Partnership....
by Tove Kvarnström | Apr 17, 2024 | LiU 2024 Scholar Period 1, LiU 2024 Scholar Period 2
Assistant Professor Shanghai Normal University Bing Gong’s research interests lie in the intersection of deep learning and data science, specifically applied to weather and air quality applications. She focus on advancing the state-of-art scalable deep learning...
by Tove Kvarnström | Apr 17, 2024 | LiU 2024 Scholar Period 1
Postdoctoral researcher Lund University Adrian Gustafson is a Researcher at the Department of Physical Geography and Ecosystem Science at Lund University. He gained his BSc in Conservation biology from Göteborg University. However, his interest in large spatial...
