faculty
Gavin Fay, PhD
Associate Professor
SMAST / Fisheries Oceanography
Contact
508-910-6363
hgbzAvnbtte/fev
School for Marine Science & Technology East, New Bedford 228
Education
2012 | University of Washington | PhD |
2004 | University of Washington | MS |
2000 | University of Stirling | BSc |
Teaching
Programs
Programs
- Engineering and Applied Science PhD
- Intercampus Marine Science Programs MS, PhD
- Marine Science and Technology MS
- Marine Science and Technology PhD
- University of São Paulo Dual PhD PhD
Teaching
Courses
Practice and development of skills for communicating scientific research to a diverse set of audiences. This course is for students in the sciences interested in applications of their research to management and policy, focusing on the importance of defining the `so what¿ of research and adapting messaging to specific audiences, using storytelling techniques to produce compelling presentations of scientific research.
Practice and development of skills for communicating scientific research to a diverse set of audiences. This course is for students in the sciences interested in applications of their research to management and policy, focusing on the importance of defining the `so what¿ of research and adapting messaging to specific audiences, using storytelling techniques to produce compelling presentations of scientific research.
Practice and development of skills for communicating scientific research to a diverse set of audiences. This course is for students in the sciences interested in applications of their research to management and policy, focusing on the importance of defining the `so what¿ of research and adapting messaging to specific audiences, using storytelling techniques to produce compelling presentations of scientific research.
Generalized linear models, inference of parameters in non-linear models, and Bayesian statistics. The course is designed for advanced graduate students in ecology and fisheries who want to study statistical theories in GLM and parameter inference, to infer parameters using the state-of -the art language (ADMB, BUG, R), and to develop his/her own models. Most models used in ecology and fisheries management are non-linear, and often many parameters are involved. The existing models/toolbox software are useful in research and practical management, but researchers often have their own unique problem, which those existing models cannot be used for.
Generalized linear models, inference of parameters in non-linear models, and Bayesian statistics. The course is designed for advanced graduate students in ecology and fisheries who want to study statistical theories in GLM and parameter inference, to infer parameters using the state-of -the art language (ADMB, BUG, R), and to develop his/her own models. Most models used in ecology and fisheries management are non-linear, and often many parameters are involved. The existing models/toolbox software are useful in research and practical management, but researchers often have their own unique problem, which those existing models cannot be used for.
Thesis research on an experimental or theoretical project in Marine Science or Technology under a faculty advisor.
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the School for Marine Science and Technology. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the SMAST Graduate Program Director.
Research
Research activities
- Evaluating the performance of ecosystem-based fisheries management strategies
- Stock assessment statistical methods development
- Simulation testing of management, monitoring, and assessment procedures
- Social-ecological ecosystem modeling and indicators for Integrated Ecosystem Assessment
- Testing decision support tools for living marine resource management
Research
Research awards
- $ 297,220 awarded by Massachusetts Clean Energy Center for Ocean Observing, Modeling, and Management for Offshore Wind Certificate Program
- $ 87,240 awarded by Virginia Institue of Marine Science for Age-length Structured Assessment Modeling for US Atlantic Sea Scallop Using Stock Synthesis
- $ 34,806 awarded by Nature Conservancy for Supporting the FishPath Implementation and Fisheries Science Capacity Building
- $ 376,392 awarded by Office of Naval Research for UMassD MUST IV: Applications of Machine Learning to Develop Statistical Emulators for Complex Spatial Marine Ecosystem Models for Improved Management Decision-making
- $ 159,189 awarded by New England Fishery Management Council for Prototype Management Strategy Evaluation for Georges Bank Ecosystem-Based Fishery
Select publications
- Fay, G., G. DePiper, S. Steinback, R.J. Gamble, J.S. Link (2019).
Economic and ecosystem effects of fishing on the Northeast US shelf
Frontiers in Marine Science, 6:133, doi: 10.3389/fmars.2019.0. - Fay, G., J.S. Link, J.A. Hare (2017).
Assessing the effects of ocean acidification in the Northeast US using an end-to-end marine ecosystem model
Ecological Modelling, 347, 1-10. - Fay, G., J.S. Link, S.I. Large, and R.J. Gamble (2015).
Management performance of ecological indicators in the Georges Bank finfish fishery
ICES Journal of Marine Science, 72, 1285-1296.