Dan Lizotte
Also known as Daniel James Lizotte
Dan Lizotte is a computer scientist who applies machine learning and reinforcement learning to health research and decision support. He earned a computer science degree at the University of New Brunswick, worked on robot gait research, completed graduate degrees at Alberta, and held a postdoctoral fellowship at Michigan. After a faculty post at Waterloo, he joined Western in 2014 and coauthored a 2016 paper with Eric Laber on multi-objective decision support; Vector named him a Faculty Affiliate in 2019. With Greta Bauer, he coauthored a 2021 paper on AI, intersectionality and public health. As of October 2026, he is an associate professor in Computer Science and Epidemiology and Biostatistics at Western and director of the Rotman Institute of Philosophy.
- Now at
- Western University
Timeline
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2001
Computer science at UNB
A computer scientist, he earns a Bachelor of Computer Science at the University of New Brunswick in 2001 and wins its computer science prize for best undergraduate honours thesis.
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2006
Robot dogs at Smithsonian
In 2006, he takes his robot dog research to the Smithsonian Folklife Festival in Washington, DC. The project tests a method to improve how fast a robot can walk.
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2008–2011
A Michigan postdoc
He completes an MSc and PhD in Computing Science at the University of Alberta and receives the Izaak Walton Killam Memorial Scholarship. From 2008 to 2011, he completes a postdoctoral fellowship at the University of Michigan's Department of Statistics and Institute for Social Research.
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2012
An alumnus award and fitted-Q paper
Science Atlantic names him an Outstanding Alumnus in 2012 and inducts him into its Hall of Fame. With Michael Bowling and Susan Murphy, he coauthors “Linear fitted-Q iteration with multiple reward functions” in 2012.
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2014–2016
Western and sequential decision support
After an assistant professorship at the University of Waterloo's David R. Cheriton School of Computer Science, he joins Western in 2014 as an assistant professor in Computer Science and Epidemiology and Biostatistics. In 2016, he and Eric Laber publish “Multi-Objective Markov Decision Processes for Data-Driven Decision Support.”
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2019
Vector Institute affiliation
The 2019 cohort includes him among 29 Vector Faculty Affiliates with primary appointments at universities and research institutions across Ontario.
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2021
AI and public health
With Greta Bauer, he publishes “Artificial intelligence, intersectionality, and the future of public health” in 2021.
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As of October 2026
Associate professor and Rotman director
He is an associate professor in Western's Department of Computer Science and Department of Epidemiology and Biostatistics, and director of the Rotman Institute of Philosophy. The Φ Lab he leads applies machine learning and biostatistical methods, including reinforcement learning, to health research and decision support.
Career
- NowWestern UniversityAssistant Professor
- From 2019Vector InstituteFaculty Affiliate
- Until 2014University of WaterlooAssistant Professor
- 2008–2011University of MichiganPostdoctoral Fellow
Education
- 2001University of New BrunswickBachelor of Computer Science
- University of AlbertaMSc; PhD
Sources and credits
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