# Gabriel Girard > researcher (ORCID 0000-0002-5781-3104) **Wikidata**: [Q88659546](https://www.wikidata.org/wiki/Q88659546) **Source**: https://4ort.xyz/entity/gabriel-girard-q88659546 ## Summary Gabriel Girard is a Canadian computer scientist and researcher born in 1986. He currently serves as a professor of practice at the École de santé publique de l’Université de Montréal, where he contributes to the intersection of computer science and public health. ## Biography - Born: 1986 - Nationality: Canada - Education: University of Nice Sophia Antipolis (PhD, 2016); University of Sherbrooke - Known for: Academic research in computer science and computational health - Employer(s): École de santé publique de l’Université de Montréal - Field(s): Computer science ## Contributions Gabriel Girard has established himself as a researcher in the field of computer science, with a specific focus on academic and practical applications within public health. His research career is marked by significant collaborations with prominent scholars, having completed his doctoral work under the supervision of Maxime Descoteaux, Rachid Deriche, and Kevin Whittingstall. His academic output is documented through international research databases, including ORCID (0000-0002-5781-3104) and the Mathematics Genealogy Project (ID 245549). As a professor of practice at the École de santé publique de l’Université de Montréal, Girard bridges the gap between theoretical computer science and the service sector. His work involves the application of computational methods to health-related data and systems. He has operated within both the industrial and service sectors of computer science, contributing to the field's growth in Quebec and internationally. His doctoral thesis, completed in 2016 at the University of Nice Sophia Antipolis, represents a cornerstone of his early contributions to the scientific community. ## FAQs ### Q: What is Gabriel Girard's primary area of expertise? A: Gabriel Girard is a computer scientist and researcher who specializes in the application of computational techniques, currently serving as a professor of practice in a public health context. ### Q: Which institutions is Gabriel Girard affiliated with? A: He is primarily affiliated with the École de santé publique de l’Université de Montréal and has previously studied at the University of Sherbrooke and the University of Nice Sophia Antipolis. ### Q: Who were Gabriel Girard's academic mentors? A: His doctoral research was advised by notable researchers Maxime Descoteaux, Rachid Deriche, and Kevin Whittingstall. ## Why They Matter Gabriel Girard represents a critical link between advanced computer science and public health administration. By holding the position of professor of practice at the École de santé publique de l’Université de Montréal, he facilitates the translation of complex computational research into actionable health strategies. His work is significant for its interdisciplinary nature, moving computer science beyond traditional industrial sectors and into the essential service sector of public health. His influence is also felt through his academic lineage; by working closely with Maxime Descoteaux—a prominent Canadian researcher and entrepreneur—Girard is part of a specialized cohort of scientists advancing computational imaging and data analysis in Canada. His bilingual contributions in French and English allow him to engage with diverse scientific communities across North America and Europe. Without his contributions, the integration of high-level computer science practices within the Montreal public health academic ecosystem would lack a key practitioner-researcher who bridges these two demanding fields. ## Notable For * **Professor of Practice:** Holds a specialized faculty role at the École de santé publique de l’Université de Montréal. * **Academic Lineage:** Conducted doctoral research under the guidance of renowned computer scientist Rachid Deriche and entrepreneur Maxime Descoteaux. * **International Education:** Completed advanced research at the University of Nice Sophia Antipolis in France and the University of Sherbrooke in Canada. * **Bilingual Researcher:** Contributes to the scientific community in both French and English. ## Body ### Academic Background and Education Gabriel Girard began his high-level academic training in Canada and France. He attended the University of Sherbrooke before moving to the University of Nice Sophia Antipolis for his doctoral studies. He successfully defended his thesis in 2016 (Thesis ID: 2016NICE4014). During this period, his work was supervised by a committee of experts: * **Maxime Descoteaux:** A Canadian computer scientist and entrepreneur. * **Rachid Deriche:** A prominent researcher in computational science. * **Kevin Whittingstall:** A researcher associated with his doctoral progress. ### Professional Career and Affiliations Girard’s professional identity is defined by his role as a "professor of practice." This role emphasizes the application of scholarly research to real-world professional environments. * **Current Affiliation:** École de santé publique de l’Université de Montréal (ESPUM). * **Industry Focus:** His work spans the industrial and service sectors, particularly where they intersect with computer science. * **Professional Identifiers:** He is indexed in several global authority files, including the Library of Congress (n2011005948) and the Canadiana name authority (ncf11565333). ### Research and Digital Footprint Girard maintains a verified presence in the global research community through various digital identifiers: * **ORCID:** 0000-0002-5781-3104 * **Dimensions Author ID:** 01076545605.63 * **VIAF ID:** 79146822101707380508 * **Mathematics Genealogy Project:** 245549 His work is recognized for its contribution to the computer science "class," a field characterized by the study and practice of computational systems within various economic sectors. ## References 1. IdRef 2. SUDOC 3. Mathematics Genealogy Project 4. Fichier central des thèses 5. Virtual International Authority File 6. Canadiana Name Authority File