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Ole Winther is a professor at the University of Copenhagen, focusing on the development of machine learning methods within bioinformatics, biological sequence analysis, transcriptomics, natural language processing, and health informatics. He holds a PhD in Physics from the University of Copenhagen and has over 150 peer-reviewed papers to his name, with numerous citations and a significant h-index. Winther's work includes leading projects in AI and machine learning for life sciences, and he has been principal investigator in several funded research initiatives. He has a strong record of innovation, having been involved in the creation of AI startups and technologies in natural language processing. In addition to his research, Winther is deeply engaged in teaching and supervision across various educational levels, having supervised over 25 PhD students and led master's projects in data science.
University of Copenhagen • Copenhagen, Denmark
Leading research in machine learning and bioinformatics.
DTU Compute • Copenhagen, Denmark
Led the Bioinformatics Centre and supervised various bioinformatics projects.
DTU Compute • Copenhagen, Denmark
Group Leader at the Bioinformatics Centre.
DTU • Copenhagen, Denmark
Engaged in research and teaching in computer science.
Center for Biological Sequence Analysis (CBS), DTU • Copenhagen, Denmark
Focused on research in biological sequence analysis.
Complex Systems Group, University of Lund • Lund, Sweden
Conducted research in mathematical and computational modeling.
Focuses on clinical, social, and cognitive psychology.