picture of Jennifer Gosselin

Jennifer L. Gosselin, Ph.D.

Co-Director, Columbia Basin Research
Senior Research Scientist
School of Aquatic and Fishery Sciences
University of Washington
Email: gosselin@uw.edu

Bio

Dr. Gosselin has experience working with salmonids in regulated rivers since her Ph.D. at the UW School of Aquatic and Fishery Sciences. She has worked with multiple action agencies and academic institutions across the US west coast. Earlier in her research, she worked with invasive species, nesting smallmouth bass, as well as diverse sampling gears to survey freshwater fishes in the Great Lakes during her Master's at the University of Toronto in Mississauga, Canada. Dr. Gosselin was Co-Chair of the SAFS Equity & Inclusion Committee 2019-21, and continues to volunteer her time to support policy changes and activities through an effective lens of diversity, equity, inclusion and belonging.

Research Interests

Dr. Jennifer Gosselin is a research scientist at Columbia Basin Research, UW School of Aquatic and Fishery Sciences (SAFS). With a focus on cross-life-stage effects, Dr. Gosselin is interested in how juvenile experiences later affect subadult and adult biological responses in anadromous fish species that ultimately affect their survival. Her research on cross-life-stage processes integrates real-time data into models for pre- and in-season decision-making. She is also interested in how signals from freshwater, marine and climate indices can shift through time across decades. Thus, her work aims to bridge theoretical and evidence-based research with fine-scale spatiotemporal resolution management in real-time for innovative aspects of applied research.

Areas of Expertise

  • Carryover effects in species with complex life histories
  • Anadromous fish species migrating through regulated rivers
  • Forecast models that integrate real-time indices and ecological mechanisms
  • Challenge experiments to investigate multiple stressors
  • Shifting signals of freshwater, marine and climate indices across long time series