معرفی
Dr. Michel Dumontier is a Distinguished Professor of Data Science at Maastricht University, where he serves as the founder and Director of the Institute of Data Science. He is internationally recognized as a co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles, which have transformed scientific data management globally.
His academic background includes:
- BSc in Biochemistry from the University of Manitoba (1999)
- PhD in Bioinformatics from the University of Toronto (2004)
- Assistant/Associate Professor at Carleton University (2005-2013)
- Associate Professor at Stanford University (2013-2016)
- Distinguished Professor at Maastricht University (2017-present)
Dr. Dumontier's research focuses on unlocking data potential for scientific discovery, with expertise in knowledge graphs for drug discovery and personalized medicine. His work spans FAIR data principles, generative AI, machine learning, semantic technologies, ontology, and data integration.
His recent publications reveal a strong trend toward applying generative AI to healthcare data, with increasing focus on synthetic health data generation, privacy-preserving techniques, and knowledge graph applications in drug repurposing. His work bridges computer science, biomedical informatics, and clinical applications across multiple medical domains.
Dr. Dumontier has secured significant research funding as a principal investigator:
- NWO (Dutch Research Council)
- Horizon Europe
- MCSA
- NIH/NCATS
- ARPA-H
He coordinates the AIDAVA and REALM projects, leads the NCATS Biomedical Data Translator, and directs the GENIUS AI lab. As editor-in-chief of the journal Data Science, he shapes discourse in the field.
Dr. Dumontier maintains active industry connections through:
- Minderheidsaandeelhouder at Data2Discovery Inc
- Scientific advisor and minority shareholder at OntoForce NV
- Scientific advisor, board member, and minority shareholder at Comunicare
- Editor-in-chief of Data Science Journal at Sage Publishing
