Rate My Professor Claire Paris

Paris has pioneered key tools widely used in the field: the open-source Connectivity Modeling System (CMS), a probabilistic Lagrangian software for tracking biotic and abiotic particles across scales, applied in NOAA fish stock assessments, global dispersal studies, paleo-climate research, and pollutant tracking; and the Drifting In Situ Chamber (DISC), a Lagrangian observational platform for detecting larval fish orientation and navigation cues in the pelagic environment. During the Deepwater Horizon oil spill, her CMS adaptations via NSF RAPID and GoMRI funding tracked the deep oil plume and informed response strategies; she serves as lead PI for the Near- and Far-field Modeling Task in the GoMRI C-IMAGE Consortium and Co-PI in the RECOVER Consortium. With over 100 peer-reviewed publications, notable works include "Scaling of connectivity in marine populations" (Science, 2006), "Connectivity of marine populations: open or closed?" (Science, 2000), "Connectivity Modeling System: A probabilistic modeling tool..." (Environmental Modelling & Software, 2013), and "Lagrangian ocean analysis: Fundamentals and practices" (Ocean Modelling, 2018). She received the 2018 American Geophysical Union Ocean Sciences Rachel Carson Lecture for her contributions, is President-Elect of the Early Life History Section of the American Fisheries Society, and Associate Editor for Frontiers in Marine Science.