Persistent Digital Identifiers (UIDs)
ORCID :
0000-0001-9229-6379
Subject Area
Biological Oceanography, Marine Ecology
Fisheries, Aquaculture
Activities
My research interests span theoretical and applied questions in marine resource ecology and fisheries management, with a focus on translating complex, dynamic ocean systems into quantitative evidence that supports decision-making. I integrate population and community ecology with modern statistical modeling to understand how marine populations respond to environmental variability and human pressures and to design management strategies that remain robust under change. A core component of my work is stock assessment and population dynamics, including the development and evaluation of models that link observed data (e.g., catches, biological sampling, abundance indices) to key processes such as recruitment, growth, mortality, and movement. I am particularly interested in how uncertainty propagates through assessment pipelines and how alternative model structures—time-varying parameters, state-space formulations, and hierarchical approaches—shape inference and management advice. This connects naturally to life-history theory, where I examine how variability in growth, maturation, reproductive investment, and condition emerges from ecological constraints and translates into population-level productivity and resilience. A second major axis of my research is spatio-temporal ecology. Marine populations and fishing fleets operate across heterogeneous seascapes shaped by bathymetry, fronts, upwelling intensity, and mesoscale variability. I use spatio-temporal models to quantify distribution, habitat use, and shifts in availability, separating true population change from observation and sampling effects. This includes modeling non-linear responses to environmental covariates, identifying persistent hotspots and transition zones, and evaluating how spatial structure influences monitoring, risk, and management performance. When appropriate, I also use multivariate approaches to characterize community dynamics and ecosystem reorganization.
