I am pursuing a Ph.D. at the University of Washington, School of Aquatic and Fishery Sciences in Fishery Management as of June, 2017.
My research will examine Management Strategy Evaluation for marine forage fish species, particularly when multiple species are fished by the same group. I work with academics, government, industry, and NGO's to develop fishery management options that are inclusive of multiple stakeholders.
My research will examine Management Strategy Evaluation for marine forage fish species, particularly when multiple species are fished by the same group. I work with academics, government, industry, and NGO's to develop fishery management options that are inclusive of multiple stakeholders.
Fish populations are assessed in the United States to ensure the sustainability of commercial and recreational fish harvests. However, fisheries assessments tend to be based on either age-dynamics or length-dynamics, meaning they fail to take into consideration population dynamics driven by length or age, respectively. I am developing a method of stock assessment designed to: 1) assess populations based on age-, length-, or length- and age-dynamics, and 2) reduce relative error in assessments by accounting for the use of both age and length dynamics simultaneously.
Akselrud, Caitlin I. Allen, André E. Punt, and Lee Cronin-Fine. "Exploring model structure uncertainty using a general stock assessment framework: the case of Pacific cod in the Eastern Bering Sea." Fisheries Research 193 (2017): 104-120.
Punt, André E., Caitlin Allen Akselrud, and Lee Cronin-Fine. "The effects of applying mis-specified age-and size-structured models." Fisheries Research 188 (2017): 58-73.
Akselrud, Caitlin I. Allen, André E. Punt, and Lee Cronin-Fine. "Exploring model structure uncertainty using a general stock assessment framework: the case of Pacific cod in the Eastern Bering Sea." Fisheries Research 193 (2017): 104-120.
Punt, André E., Caitlin Allen Akselrud, and Lee Cronin-Fine. "The effects of applying mis-specified age-and size-structured models." Fisheries Research 188 (2017): 58-73.
Collaborative Research:
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Undergraduate Research:
Future Directions and Additional Research Interests:
I am also interested in how we can improve model processing speed through super-computing. I am looking to learn more about computer science, and super-computing and cloud-computing methods.