Dr. Michel Dumontier is a Distinguished Professor of Data Science at Maastricht University. His research focuses on the development of computational methods for scalable integration and reproducible analysis of FAIR (Findable, Accessible, Interoperable and Reusable) data across scales - from molecules, tissues, organs, individuals, populations to the environment. His group combines semantic web technologies with effective indexing, machine learning and network analysis for drug discovery and personalized medicine.
Previously at Stanford University, Dr. Dumontier now leads a new inter-faculty Institute for Data Science at Maastricht University with a focus on accelerating discovery science, improving health and well being, and strengthening communities. He is a Principal Investigator for the NCATS Biomedical Data Translator and a co-Investigator for the NIH BD2K Center for Expanded Data Annotation and Retrieval (CEDAR). He is a member of the Dutch TechCenter for Life Sciences, and participates in Elixir, a EU wide initiative to develop a distributed infrastructure for life-science information. He is the editor-in-chief for the IOS press journal Data Science and an associate editor for the IOS press journal Semantic Web. He is a technical lead for the FAIR (Findable, Accessible, Interoperable, Re-usable) data initiative, and is the scientific director for Bio2RDF, an open source project to generate Linked Data for the Life Sciences. He has published over 125 articles in top rated journals and international conferences. He is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies as evidenced by awards, keynote talks at international conferences, and collaborations on international projects.