Current or incoming graduate students in Stats/Data Science/Math/Epidemiology at UoGuelph are welcome to contact me regarding supervision.
Peer-reviewed journal articles
JJ Slater, A. Bansal, H. Campbell, JS Rosenthal, P. Gustafson, PE Brown (2023+). A Bayesian approach to estimating COVID-19 incidence and infection fatality rates. To appear in Biostatistics. (paper)
JJ Slater, PE Brown, JS Rosenthal, J Mateu (2022). Capturing spatial dependence of COVID-19 case counts with cellphone mobility data. Spatial Statistics 49: 100540.(paper)
Applied papers (select). See my Google Scholar page for a complete list.
S Kang, JJ Slater (2022). Pop Quizzical: Does Authoring questions for peers improve learning in Introductory Statistics?
Peer-reviewed conference paper/talk at the 11th International Conference on Teaching Statistics. (paper)
Research Talks, Posters, and Workshops
Quantifying the risk associated with travelling during a pandemic using cellphone-derived mobility networks (based on joint work with PE Brown, JS Rosenthal, and J Mateu)
Invited seminar talk at the University of Waterloo - November 2022 (slides)
A Bayesian approach to estimating COVID-19 incidence and infection fatality rates (based on joint work with A Bansal, H Campbell, JS Rosenthal, P Gustafson, PE Brown)