Our Researchers
Quantitative Ecology, Statistical Fisheries, Evolution, Population Dynamics
Dr. Jin Gao is a research scientist at CFER, and a junior Ocean Choice International (OCI) Industrial Research Chair in Fish Stock Assessment and Sustainable Harvest Advice for Northwest Atlantic Fisheries. She is a broadly trained quantitative ecologist who is particularly interested in fishery science while developing and applying modern statistical methods to improve stock assessment. Her current work focuses on methods to improve abundance estimates by incorporating developments in spatio-temporal modeling and improve forecasting using equation-free nonlinear time series analysis.
Dr. Gao did her second postdoctoral research at a joint position of the School of Aquatic and Fishery Sciences in the University of Washington and the Northwest Fisheries Science Center of NOAA. She did her first postdoctoral research at the Institute of Oceanography in the National Taiwan University.
She obtained a PhD degree in Ecology and Evolution at the State University of New York at Stony Brook and a Bachelor’s degree in Ecology at Shandong University, China.
- FISH 6005 Advanced Statistical Stock Assessment Lab
- FISH 6004 Overview of Statistical Stock Assessment Lab
Significant Publications:
Gao J. and S.B. Munch “A function-valued trait approach to estimating the genetic basis of size at age and its potential role in fisheries induced evolution” (Evolutionary Applications 2019, in press).
S. McClatchie, J. Gao, E.J. Drenkard, A.R. Thompson, W. Watson, L. Ciannelli, S. J. Bograd, J.T Thorson “Inter-annual and secular variability of mesopelagic and forage fishes in the southern California Current System” (Journal of Geophysical Research: Oceans 2018).
J.T. Thorson, S.B. Munch, J. Cope, J. Gao “Predicting life history parameters for all fishes worldwide” (Ecological Applications 2017).
J.T. Thorson, A. Rindorf, J. Gao, D. Hanselman, H. Winker “Evaluating density-dependent changes in effective area occupied for sea-bottom-associated marine fishes” (Proceedings of the Royal Society B 2016).
Gao, J. and S.B. Munch “Does reproductive investment decrease telomere length in Menidia menidia?” (PLOS One 2015).
Gao, J. and S.B. Munch “Estimating the heritability of growth in early life stages in Atlantic silversides (Menidia menidia)” (Marine Ecology Progress Series 2013).
