Sean Anderson

Sean Anderson

I’m a Research Scientist at the Pacific Biological Station with Fisheries and Oceans Canada. I use statistical and simulation models to connect theory with data, improve predictions about ecological systems, and inform management decisions. My research focuses on dynamic species distribution modelling, population modelling, and fisheries stock assessment, with much of my recent work centred on spatial and spatiotemporal models.

You can find my preprints and publications in my CV or on Google Scholar.

I develop open-source R packages to support the adoption of statistical methods and reproducible science. These include:

  • sdmTMB, which fits spatial and spatiotemporal generalized linear mixed-effects models (GLMMs) using Template Model Builder (TMB) and Gaussian Markov random fields

  • bayesdfa, which fits Bayesian dynamic factor analysis (DFA) multivariate time-series models

  • csasdown, which facilitates reproducible data-to-document workflows for CSAS (Canadian Science Advisory Secretariat) reports

I maintain an annual report that visualizes nearly all available biological and fisheries data for 116 groundfish species in British Columbia, Canada. I also maintain a second annual report summarizing trends in groundfish stock status in British Columbia and linking those trends to survey-based population indices.

Outside of work, I enjoy sea kayaking, woodworking, and photography.