Presentation

I am a Senior Lecturer in Machine Learning at Malmö University, with a research focus on deep learning, statistical machine learning, and generative modelling. My work spans both methodological development and interdisciplinary applications. A central theme of my research is data imputation and uncertainty modelling, where I develop deep generative approaches to handle missing or noisy data. I also contribute to citizen science projects in Sweden designed by the Swedish Veterinary Institute, including large-scale surveillance of ticks and tick-borne pathogens, developing methods for data quality control, automated tick species classification, and host distribution modelling.