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Fredrik Johansson is a Postdoctoral Research Fellow specializing in Data Science and Artificial Intelligence at the University of Gothenburg. His research focuses on the application of machine learning techniques to high-dimensional proteomics datasets, particularly in the identification of biomarkers for Alzheimer's disease. He has contributed to various studies addressing the impact of socioeconomic factors on health outcomes and has experience with sequential treatment patterns in patients with rheumatoid arthritis. Johannson has been involved in cutting-edge research projects that include rule-based models for handling missing values and preference learning in machine learning. His publications span renowned journals and conferences, highlighting his work in advancing methodologies in computational statistics and artificial intelligence. He is committed to bridging the gap between theoretical research and practical applications in healthcare and policy.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).