I’m an environmental economist and assistant professor at the Vancouver School of Economics. I study the economic impacts of and responses to climate change.

Specifically, my current research includes estimating the impact of temperature on tweets to understand preferences for climate change, assessing the implicit subsidy of federal wildfire suppression, projecting how climate change will alter peak electricity demand, and estimating how consumers respond to defaults in electricity consumption. My favorite projects use large datasets, natural language processing, spatial information, or all three; as a result, I do most of my data work in R/RStudio and Python.

Before I joined UBC, I was a postdoctoral fellow at the Stanford Center on Food Security and the Environment, a graduate student in Agricultural and Resource Economics at UC-Berkeley, and a research assistant at the Energy Institute at Haas.

I can be reached via e-mail at patrick.baylis@ubc.ca or on GitHub.