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Our lab is generally interested in understanding how ecosystem patterns and processes emerge from the local interactions of individual organisms. One main approach is the use of computational models integrating empirical data across oceanographic scales and disciplines in order to tease out the mechanisms driving populations and ecosystems, as well as to help provide decision-support systems for natural resources conservation and management.

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Our research is centered around understanding the dynamics of the base of the food web of ocean ecosystems, especially the phytoplankton, how these are affected by anthropogenic and natural factors, and how these effects can cascade up to our fisheries.  Through an arsenal of field, laboratory and modelling approaches, we hope to have a better handle on issues such as changes in productivity and ecosystem conditions. 

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