Michel Dumontier
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Michel Dumontier Email & Phone Number

Distinguished Professor at Universiteit Maastricht
Location: Maastricht, Limburg, Netherlands 9 work roles 2 schools
1 work email found @stanford.edu LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email m****@stanford.edu
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Current company
Role
Distinguished Professor
Location
Maastricht, Limburg, Netherlands

Who is Michel Dumontier? Overview

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Quick answer

Michel Dumontier is listed as Distinguished Professor at Universiteit Maastricht, based in Maastricht, Limburg, Netherlands. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Michel Dumontier.

Michel Dumontier previously worked as co-chair for the Semantic Web Health Care and Life Sciences Interest Group (HCLSIG) at W3C and Scientific Director at Bio2Rdf. Michel Dumontier holds Phd, Biochemistry (Bioinformatics) from University Of Toronto.

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Email format at Universiteit Maastricht

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{first}.{last}@stanford.edu
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Profile bio

About Michel Dumontier

Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, and focuses on multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported by the Netherlands Organisation for Scientific Research, Horizon Europe, the US National Institutes of Health, and the US Advanced Research Projects Agency for Health. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.

Listed skills include Ontologies, Genomics, Bioinformatics, Molecular Biology, and 31 others.

Current workplace

Michel Dumontier's current company

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Universiteit Maastricht
Universiteit Maastricht
Distinguished Professor
Maastricht, LI, NL
AeroLeads page
9 roles · 22 years

Michel Dumontier work experience

A career timeline built from the work history available for this profile.

Co-Chair For The Semantic Web Health Care And Life Sciences Interest Group (Hclsig)

Current
W3C
Sep 2011 - Present

Scientific Director

Current
Bio2Rdf
2010 - Present ~16 yrs 5 mos

Editorial Board

Current
Semantic Web Journal
2010 - Present ~16 yrs 5 mos

Invited Expert

Current
W3C Hclsig
2007 - Present ~19 yrs 5 mos

Post Doctoral Fellow

Blueprint Initiative
2004 - 2005 ~1 yr
2 education records

Michel Dumontier education

Phd, Biochemistry (Bioinformatics)

Activities and Societies: Biochemistry Graduate Student Union (BGSU)

FAQ

Frequently asked questions about Michel Dumontier

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What company does Michel Dumontier work for?

Michel Dumontier works for Universiteit Maastricht.

What is Michel Dumontier's role at Universiteit Maastricht?

Michel Dumontier is listed as Distinguished Professor at Universiteit Maastricht.

What is Michel Dumontier's email address?

AeroLeads has found 1 work email signal at @stanford.edu for Michel Dumontier at Universiteit Maastricht.

Where is Michel Dumontier based?

Michel Dumontier is based in Maastricht, Limburg, Netherlands while working with Universiteit Maastricht.

What companies has Michel Dumontier worked for?

Michel Dumontier has worked for Universiteit Maastricht, W3C, Bio2Rdf, Semantic Web Journal, and W3C Hclsig.

How can I contact Michel Dumontier?

You can use AeroLeads to view verified contact signals for Michel Dumontier at Universiteit Maastricht, including work email, phone, and LinkedIn data when available.

What schools did Michel Dumontier attend?

Michel Dumontier holds Phd, Biochemistry (Bioinformatics) from University Of Toronto.

What skills is Michel Dumontier known for?

Michel Dumontier is listed with skills including Ontologies, Genomics, Bioinformatics, Molecular Biology, Information Retrieval, Systems Biology, Semantic Web, and Computational Biology.

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