Chase C. James

The paper develops a modeling framework to explore phytoplankton evolutionary trajectories under climate change, showing it captures evolved phenotypes not predicted by traditional models.

This study identifies metabolic niches in marine heterotrophs using global metagenomic data and models, linking microbial diversity to carbon cycling rates.

The paper identifies molecular predictors of domoic acid production during a harmful algal bloom and links iron and silica co-limitation to bloom dynamics and toxicity.

This study combines high-resolution physical and multi-omic sampling to identify DA biosynthetic gene expression in frontal zones of Monterey Bay during declining upwelling.