Published multiple papers in journals and conferences such as Transactions on Machine Learning Research, European Signal Processing Conference; involved in various research projects like optimizing annotation strategies for bioacoustic sound events using active learning, impacts of color and texture distortions on Earth observation data in deep learning, etc.
Research Experience
Senior research scientist at RISE Research Institutes of Sweden, leading the Deep Learning Research Group. Co-PI of CLIMES, The Swedish Centre for Impacts of Climate Extremes, and co-founder of Climate AI Nordics.
Education
PhD from Chalmers University of Technology.
Background
Deep learning researcher, focusing on machine learning solutions related to the environment and climate change. Research interests include stream flow forecasting, soundscape analysis for biodiversity monitoring, and AI for circular business models.
Miscellany
Organizer of RISE Learning Machines Seminars; initiated and runs the Climate AI Nordics platform, aiming to connect researchers in the Nordic countries working on issues related to climate change.