Paul Frémont

This study compares Eulerian and Lagrangian models of phytoplankton communities in an ocean circulation model, showing that particle-based methods produce distinct biogeography and diversity patterns.

The paper reassesses viral decay assumptions in 17 datasets, finding biphasic decay is common and shows aggregation mechanisms can explain high virion abundances and low infection prevalence.

This paper develops a multi-omics machine learning model to predict breast cancer survival, finding that epigenetic features are the strongest predictors.

The paper compares implicit and explicit representations of viral dynamics in marine ecosystem models, finding that explicit models better capture virus-induced mortality effects on phytoplankton blooms.

The paper models viral impacts on ocean productivity and biogeochemistry, showing that high viral shunt efficiency enhances productivity across much of the global ocean.

This paper develops a community model to investigate mechanisms enabling coexistence of viruses, grazers, and phytoplankton in marine ecosystems, finding that viral life history traits and predator mortality terms are critical for stability.

The paper analyzes metatranscriptomes across a North Atlantic-Arctic gradient, finding differential and convergent gene expression changes in eukaryotic phytoplankton at the polar front.

The paper reports the chromosome-scale genome of Pelagomonas calceolata, revealing adaptations to iron-poor environments and its potential expansion under climate change.