Camille Pagniello

Camille Pagniello
Assistant Professor of Oceanographic Engineering
University of Hawaiʻi at Mānoa
Department of Ocean and Resources Engineering
Honolulu
HI
Fields of interest
animal-borne sensors; ocean dynamics; climate change; submesoscale processes; ocean instrumentation; oceanography; biophysical interactions; big data; data science; machine learning; marine ecosystems
Description of scientific projects
Animals equipped with electronic tags that can collect high-resolution, three-dimensional movement in concert with oceanographic data are an under-utilized data stream in oceanography that could be used to measure submesoscale features (i.e., features on scales of 1 to 10 km and hours to days). However, integrating physical and biological ocean data continues to pose a significant computational challenge. The Marine Innovation Lab for Leading-edge Oceanography's focus is the application of novel data science methods to further our understanding of how animals are utilizing local ocean dynamics and responding to climate change as well as to improve our predictive capabilities of future ocean and climate conditions.