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Martin Bøgsted is a Professor at the Center for Clinical Data Science (CLINDA) at Aalborg University, specializing in the development of innovative infrastructure and artificial intelligence for healthcare. With over 30 years of experience in academia, the public sector, and industry, he brings a broad interdisciplinary approach to data science. His research spans applied probability, statistics, and machine learning, with applications in medicine, agriculture, and telecommunications. He has taught statistics at the bachelor, master's, and PhD levels, covering topics such as basic probability theory, applied statistics, and machine learning. Martin primarily supervises master’s and PhD students, focusing on methodological development and application of artificial intelligence in the healthcare sector. His current projects include the development of variational autoencoders, unsupervised clustering methods, and optimization algorithms for detecting homologous recombination deficiency (HRD).
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.