by Tove Kvarnström | Feb 15, 2024 | LiU 2024 Scientific Committee, LiU 2024 Speaker
Professor University of Bonn Ribana Roscher is a Professor of Data Science for Crop Systems at the University of Bonn, Germany, and heads the same-titled group at the Institute of Bio- and Geosciences at Research Center Jülich, Germany. Until 2022, she was a Junior...
by Tove Kvarnström | Feb 15, 2024 | LiU 2024 Scholar Period 1, LiU 2024 Scholar Period 2
Postdoctoral scholar California Institute of Technology So Takao is a postdoctoral scholar at the California Institute of Technology, working on the intersection of machine learning and data assimilation. His interests involve (1) developing efficient inference...
by Tove Kvarnström | Feb 14, 2024 | LiU 2024 Speaker
Researcher European Centre for Medium Range Weather Forecasts (ECMWF) Mariana Clare is a researcher at the European Centre for Medium Range Weather Forecasts (ECMWF), where she works on building a machine learning model for weather forecasting. She is particularly...
by Tove Kvarnström | Feb 7, 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 | Feb 6, 2024 | LiU 2024 Scholar Period 1
Researcher SMHI Tomas Landelius has a PhD in Computer Vision from Linköping University (LiU). His thesis focused on reinforcement learning and he helped develop the first machine learning undergraduate course at LiU in 1996. Following his work at LiU, Tomas came to...
by Tove Kvarnström | Feb 6, 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...