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Resume (English only)
Research Experience
Research Project: Improved Weather Forecasts with AI
Funding: WASP (Wallenberg AI, Autonomous Systems and Software Program) through the NEST project 'Multi-dimensional alignment and integration of physical and virtual worlds'.
Education
Degree: PhD Student
University: Linköping University (Linköpings universitet)
Department: Department of Computer Science (IDA) - Statistics and Machine Learning (STIMA)
Background
Research Interests: Developing new methods to combine predictive spatio-temporal machine learning models with probabilistic models to represent and reason about uncertainties in the models and their predictions. Primary application area includes developing new AI systems in collaboration with SMHI for weather forecasting, data assimilation, and climate simulations.