Dr. Auger-Méthé is broadly interested in developing and applying statistical tools to infer behavioural and population processes from empirical data. While she is mostly interested in marine and polar species (e.g. narwhals and polar bears), the methods she develops are usually applicable to a wide range of species and ecosystems. Her current work centres on modelling animal behaviour using movement data. In addition, she is interested in the conservation and management of marine and polar ecosystems.
Biography
Dr. Auger-Méthé is an Associate Professor at the Institute for the Oceans & Fisheries and in the Department of Statistics. Most of her work is interdisciplinary in nature and at the intersection between ecology, statistics, and marine sciences. Her recent focus has been on developing and applying statistical models to understand the movement and space use of marine species. Prior to starting at UBC, She did her PhD at the University of Alberta, and a BSC, MSc, and Postdoctoral fellowship at Dalhousie University.
Teaching
FISH 506H/STAT 547N Statistics in Ecology and Marine Sciences
Indigenous Knowledge can provide a holistic understanding of species’ habitat use given that it contains observations of multiple species across seasons and includes animals' complex relationships with other species and habitats.
Shabnam is a third-year PhD student at the Institute for the Oceans and Fisheries (IOF) under the supervision of Marie Auger-Méthé. Her research focuses on the movement ecology, behaviour, and disease dynamics of Larus glaucescens (glaucous-winged gulls) within coastal and urban environments.
Each year, the RSC invites scholars, artists and creators in the early stage in their career, who have been recognized through their exceptional contributions to the world of science and culture, and to the well-being of Canada to join the College.
Dr. Marie Auger-Méthé's Canada Research Chair in Statistical Ecology (Tier II) was renewed, and she, along with Dr. William Cheung and Dr. David Rosen received NSERC Discovery Grant funding.
