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In the Ecological Data Science Lab at USC, we develop statistical and computational methods to leverage large biodiversity datasets to learn about ecological processes and inform conservation action.

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We determine if and how statistical models can be applied to opportunistic records without yielding biased trends, and use these models to determine how the distribution of pollinators has changed through time.

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We collaborate with conservation practitioners to increase the impact of our science.

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We use large scale simulation studies and machine learning to understand the ecological processes that structure metacommunity time series.

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Our work is highly computational, quantitative and collaborative!