Home

I have done applied empirical research in a variety of fields, including the political economy of development (with a geographic focus on China) public and expert opinion on issues relating to the Arctic region, and health economics. Geospatial impact evaluations of place-based development policies are an ongoing interest. Currently, my primary area of interest is geno-economics. My most recent research studies the explanatory and predictive power of genetics in accounting for mid-career economic mobility.

I am a faculty member in the Social Science Program at Cégep Heritage College, and have lectured in the School of Conflict Studies at Saint Paul University. I am a researcher at l'observatoire de la politique et la sécurité de l’Arctique (OPSA), and I hold a PhD in Public Policy from Carleton University's School of Public Policy and Administration.

I am accepting research and consulting commissions. My focus is on the challenge of causal inference with observational data. Here are a few examples of my research:

• Modeling the impact of large gatherings on the spread of the COVID-19 pandemic (link)

• Survey design, distribution and analysis (link)

• Machine-learning analysis of large text corpora (link)

• Using Geographic Information Systems (GIS) data to assess policy impacts (link; link) and the sources of economic inequality (link; link)

• Using genetic data to predict mid-career economic mobility (link)

• Assessing the political effects of ICT diffusion (link; link)

• Government policy and firm performance (link; link; link)

I work primarily with Stata, and occasionally with R and Python. I am also very familiar with ArcGIS and SPSS.