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Patrik Edén is a Senior Lecturer at Lund University, specialized in statistical methods and machine learning techniques applied to quality control and data pre-processing in high-throughput data environments. His research involves collaboration with microarray facilities, focusing on adaptation of machine learning techniques for survival analyses. He has developed a fluid dynamics course from the ground up, which is a compulsory part of the meteorology bachelor program. Patrik also teaches courses in multidimensional calculus, statistical physics, quantum mechanics, and actively engages students through problem-solving sessions. His work contributes to the UN Sustainable Development Goals, emphasizing the importance of science for sustainable development. He is recognized for his contributions to computational biology, computer information science, and cancer oncology, and has been involved in multiple collaborative projects that explore advanced methodologies such as deep learning in breast cancer research and survival analysis imputation.
Lund University • Lund, Sweden
Teaching and research in the field of Earth and Environmental Sciences with a focus on statistical methods and machine learning.
Includes Master of Science in Politics and Society of the Contemporary Middle East and European Affairs.