Greig Oldford

Teaching & mentoring

Teaching the tools behind the decisions

I teach how fisheries and ecosystem science gets made and used, from stock assessment and ecosystem models to conservation planning, drawing on my own work in government and research.

Guest lectures

In the classroom

Nov 2025

Fisheries data and stock assessment

EOSC 478: Introduction to Fisheries Science, University of British Columbia

Apr 2023

Modelling early marine survival of salmon with Ecosim and foraging arena theory

FISH 501: Ecosystem Modelling, UBC Institute for the Oceans and Fisheries (instructor V. Christensen)

Mar 2022

Towards an end-to-end spatial-temporal EwE model for investigating Pacific salmon early marine survival

FISH 501: Ecosystem Modelling, UBC Institute for the Oceans and Fisheries

Nov 2019

Systematic marine conservation planning: my experience with MPA network planning in Canada's Northern Shelf Bioregion

FISH 507: Ocean Leaders, UBC Institute for the Oceans and Fisheries

Courses

Teaching assistant & instructor

  1. 2019–2020

    Teaching Assistant, Supervised Machine Learning II (DSCI 572) and Data Visualization (DSCI 531)

    Master of Data Science, UBC

  2. 2011

    GIS course design and instruction (three tutorials)

    Strum Environmental (consulting)

  3. 2009–2011

    Teaching Assistant and GIS lab instructor, Environment & Human Health (ENVS 3400); Intro to Environmental and Resource Management (ENVS 1100); Global Approaches to Environmental Decision Making (SUST 3000)

    Dalhousie University

Mentoring

Supervision

  1. 2024–2025Hired and supervised a scientist in the Integrated Ecosystem Modelling Program, DFO Pacific
  2. 2017–2018Supervised casual staff on technical analyses for the Northern Shelf Bioregion MPA network, DFO

Teaching interests

  • Ecosystem modelling (Ecopath with Ecosim, Ecospace) and ocean–ecosystem coupling
  • Fisheries data, stock assessment and ecosystem-based fisheries management
  • Marine spatial planning and systematic conservation planning
  • GIS, spatial analysis and data science for environmental management
  • Data visualization and scientific communication
  • Models as teaching tools; oceans management and science advice