I am currently looking for students interested in pursuing undergraduate independent studies (CIS4900/CIS4910/MATH4600/STAT4600), or a master’s or PhD graduate degree. Potential areas of research span the fields of Computer Science, Mathematics, and Statistics, with areas of application in ecologic modelling, environmental risk assessment, public health risk assessment, food systems, education, human computer interaction, and alternative data collection.

The following projects are available, pending funding:

Computer Science (Human Computer Interaction & Alternative Data Collection)

  • A CIS4900/CIS4910 student to join a team of developers working on a web and mobile application for Meal Exchange’s Trick Or Eat campaign. The apps will be piloted this fall in Guelph, and then updated and refined for nationwide release in October 2018.
  • A CIS4900/CIS4910 student to help with the development of a web and mobile application called eNuk for data collection in the remote Inuit community of Rigolet. This is part of a broader program, with a team of students from Comp Science and Population Medicine involved.
  • A CIS4900/CIS4910 student to help with the development of a web-based survey tool for the Alternative Data Collection program. This would include data visualization and implementing various gamification elements for future evaluation.
  • A CIS4900/CIS4910 student interested in data mining of a large dataset that will be made available by a local company. The project would be a collaborative effort between students in computer science, math, and stats (and possibly engineering). Each student would apply various methods to understand patterns in the data.
  • An MSc Computer Science student to evaluate alternative data collection methods for public health research. Funding for this project is pending.
  • An MSc Computer Science student to explore and evaluate gamification methods for public health surveys. Funding for this project is pending.
  • An MSc Computer Science student to explore the utility of mobile mesh networks in a remote Inuit community. Funding for this project is made available from CIRA Community Investment Program.
  • An MSc Computer Science student to develop and evaluate tools for women’s wellness in remote communities. This project is funded through a program led by Dr. Leah Levac (Political Science) and funded through the SSHRC.
  • PhD Computational Sciences student who will explore systems design for data management in a multisectoral, multinational database of public and personal health, and environmental data.

Mathematics & Statistics

  • An MSc Statistics student to explore the utility of conditionally autoregressive random effects for improving parameter estimation in population models. Funding for this project is pending.
  • An MSc Statistics student to determine the most appropriate form of the Deviance Information Criterion (as per Spiegelhalter, 2002, and Celeux, et al., 2006) for evaluating spatial Poisson mixture models. Funding for this project is pending.
  • A PhD Statistics student to develop and extend population-level ecological risk assessment models through the introduction of multivariate conditionally autoregressive random effects, including an evaluation of the most appropriate Deviance Information Criterion for model selection. Funding for this project is pending.
  • PhD Statistics student to explore the utility and efficiency of modern Monte Carlo methods for spatial and/or population level risk assessment models. Funding for this project is pending.

If any of these projects interest you, please contact me below.

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