Laura Melissa Guzman

I am a computational ecologist. My main motivation is to use quantitative and computational tools to learn about patterns and processes in biodiversity to inform conservation actions. Specifically, I am focusing on estimating changes in pollinator distributions to prioritize areas for conservation. I am also passionate about teaching data science to biologists, having successfully published research on best practices to teach data science.

I am currently an assistant professor at the University of Southern California, where I lead the Ecological Data Science lab. I completed my PhD at the University of British Columbia, Canada, with Diane Srivastava, and I was a Liber Ero Postdoctoral fellow at Simon Fraser University.

January 2022