Michel Justin Dumontier (born 1975) is a Distinguished Professor of Data Science at Maastricht University. His research focuses on methods to represent knowledge on the web with applications for drug discovery and personalized medicine. He was previously an Associate Professor of Medicine (Biomedical Informatics) at the Stanford University School of Medicine and an Associate Professor of Bioinformatics at Carleton University. He is best known for his work in biomedical ontologies, linked data and biomedical knowledge discovery. He has taught courses on biochemistry, bioinformatics, computational systems biology, and translational medicine. His research has been funded by Natural Sciences and Engineering Research Council, Canada Foundation for Innovation, Mitacs Canada, the Ontario Ministry
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| - Michel Justin Dumontier (Winnipeg, 10 april 1975) is een Canadees biochemicus en informaticus, gespecialiseerd in bio-informatica. Dumontier is hoogleraar datawetenschap (data science) aan de Universiteit Maastricht en directeur van het door hem opgerichte Institute of Data Science. Zijn werk is gericht op de ontwikkeling van berekeningsmethoden om wetenschappelijke data efficiënter bruikbaar te maken voor innovatieve toepassingen, zoals bij nieuwe medische behandelingen, duurzame oplossingen voor het opwekken van energie, en het verbeteren van online privacy en veiligheid. Zijn bijdragen op het gebied van bio-informatica, biomedische informatica, ontologie en 'linked data', zijn internationaal erkend. (nl)
- Michel Justin Dumontier (born 1975) is a Distinguished Professor of Data Science at Maastricht University. His research focuses on methods to represent knowledge on the web with applications for drug discovery and personalized medicine. He was previously an Associate Professor of Medicine (Biomedical Informatics) at the Stanford University School of Medicine and an Associate Professor of Bioinformatics at Carleton University. He is best known for his work in biomedical ontologies, linked data and biomedical knowledge discovery. He has taught courses on biochemistry, bioinformatics, computational systems biology, and translational medicine. His research has been funded by Natural Sciences and Engineering Research Council, Canada Foundation for Innovation, Mitacs Canada, the Ontario Ministry (en)
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| - Bioinformatics, Biomedical Informatics, Ontology, Linked Data, Semantic Web (en)
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| - Semanticscience Integrated Ontology, Bio2RDF (en)
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| - Michel Justin Dumontier (born 1975) is a Distinguished Professor of Data Science at Maastricht University. His research focuses on methods to represent knowledge on the web with applications for drug discovery and personalized medicine. He was previously an Associate Professor of Medicine (Biomedical Informatics) at the Stanford University School of Medicine and an Associate Professor of Bioinformatics at Carleton University. He is best known for his work in biomedical ontologies, linked data and biomedical knowledge discovery. He has taught courses on biochemistry, bioinformatics, computational systems biology, and translational medicine. His research has been funded by Natural Sciences and Engineering Research Council, Canada Foundation for Innovation, Mitacs Canada, the Ontario Ministry of Research, Innovation and Science, CANARIE, and the US National Institutes of Health. Dumontier has an h-index of over 30 and has authored over 125 scientific publications in journals and conferences. He lives in Maastricht with his wife and their lionhead rabbit Storm. (en)
- Michel Justin Dumontier (Winnipeg, 10 april 1975) is een Canadees biochemicus en informaticus, gespecialiseerd in bio-informatica. Dumontier is hoogleraar datawetenschap (data science) aan de Universiteit Maastricht en directeur van het door hem opgerichte Institute of Data Science. Zijn werk is gericht op de ontwikkeling van berekeningsmethoden om wetenschappelijke data efficiënter bruikbaar te maken voor innovatieve toepassingen, zoals bij nieuwe medische behandelingen, duurzame oplossingen voor het opwekken van energie, en het verbeteren van online privacy en veiligheid. Zijn bijdragen op het gebied van bio-informatica, biomedische informatica, ontologie en 'linked data', zijn internationaal erkend. (nl)
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