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Daniel Gillis is an Associate Professor in the School of Computer Science at the University of Guelph, where he has been since 2011 after completing his PhD in Statistics at the same institution in 2010. His research primarily focuses on utilizing computer science and statistics to address societal challenges, including public health risk assessment and population modeling. Gillis is known for his work on the eNuk program, which integrates health monitoring for Inuit communities in Labrador, and is actively involved in initiatives aimed at bridging the digital divide in Canada through innovative technological solutions. In addition to his research, Gillis emphasizes transdisciplinary pedagogy, facilitating collaborative learning experiences that connect students with community partners. He has received significant grants and recognitions for his contributions to academia, including the Ontario Confederation University Faculty Associations Teaching Award in 2019.
University of Guelph • Guelph, ON, Canada
Teaching and research focused on the intersection of computer science and public health.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).