Summary
Curry Cunningham is an associate professor and quantitative ecologist based in Juneau, Alaska, with nine years of post-PhD experience applying statistics and simulation modeling to fisheries and aquatic population dynamics. He specializes in forecasting sockeye salmon returns, integrating cohort survival models, environmental predictors, dynamic linear models, and Bayesian model selection to inform management and inseason decision-making. His work blends rigorous academic research with practical forecasting tools used for preseason planning and commercial fishery assessments, including spatially explicit approaches to salmon arrival timing. Trained at the University of Washington (Ph.D.) and UBC (B.S.), he brings a knack for turning complex ecological data into actionable predictions and is noted for tackling predator-prey and evolutionary questions within fisheries contexts. An underappreciated strength is his emphasis on integrating genetics and age composition into operational models, improving real-time management under environmental variability.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Aquatic and Fishery Sciences, Doctor of Philosophy (Ph.D.), Aquatic and Fishery Sciences at University of Washington
Bachelor of Science (B.S.), Animal Biology, Bachelor of Science (B.S.), Animal Biology at The University of British Columbia