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Dani Jones
Associate Research Scientist
Geospatial Data Sciences
Climate + Energy
Office
4040 Dana and NOAA GLERL
Websites
About
My research program focuses on CIGLR’s portfolio of work in data science, machine learning, and artificial intelligence as applied to physical limnology, weather forecasting, water cycle predictions, and observing system design. The overarching goal of this program is to advance societal adaptations to the effects of climate change, including flooding of coasts, rivers, and cities. My background lies in physical oceanography, with specific expertise in adjoint modeling for comprehensive sensitivity analysis and unsupervised classification for data analysis, primarily applied to the North Atlantic and Southern Ocean. In my current role, I am establishing CIGLR’s new Artificial Intelligence Laboratory (CIGLR AI Lab), leveraging the institute’s extensive observing assets, datasets, modeling capacity, interdisciplinary expertise, and numerous regional and international partnerships.
Publications
Jones, D.C., Sonnewald, M., Zhou, S., Hausmann, U., Meijers, A.J.S., Rosso, I., Boehme, L., Meredith, M.P., & Naveira Garabato, A.C. (2023). Unsupervised classification identifies coherent thermohaline structures in the Weddell Gyre region. Ocean Science. 19, 857-885, DOI:10.5194/os-19-857-2023 (https://os.copernicus.org/articles/19/857/2023/)
McMonigal, K., Evans, N., Jones, D., Brett, J., James, R. C., Arroyo, M. C., et al. (2023). Navigating gender at sea. AGU Advances. 4, e2023AV000927, DOI:10.1029/2023AV000927 (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023AV000927)
Andersson, T., W.P. Bruinsma, S. Markou, J. Requeima, A. Coca-Castro, A. Vaughan, A. Ellis, M.A. Lazzara, D. Jones, J.S. Hosking, and R.E. Turner (2023). Environmental sensor placement with convolutional Gaussian neural processes. Environmental Data Science. 2, E32, DOI:10.1017/eds.2023.22 (https://www.cambridge.org/core/journals/environmental-data-science/article/environmental-sensor-placement-with-convolutional-gaussian-neural-processes/F466DBCE3FA1088E04335D98225FA572)
Research
- Physical oceanography: large-scale circulation and dynamics
- Numerical modeling: adjoint modeling for sensitivity analysis
- Machine learning: unsupervised classification, observing system design
Accolades
Laws Prize, British Antarctic Survey, Cambridge, UK (2021)
UKRI Future Leaders Fellowship (2020 - 2023)
Education
Ph.D. in Atmospheric Science (Oceanography), Colorado State University (2013)
M.S. in Mathematics, Georgia Southern University (2009)
M.S. in Physics, University of Kentucky (2007)
B.S. in Physics, Georgia Southern University (2005)
Affiliations
Co-chair, Observing System Design Capability Working Group, Southern Ocean Observing System [SOOS] (https://soos.aq/activities/cwg/osd)
Affiliate Faculty, Department of Mathematical Sciences, Georgia Southern University
Honorary Researcher, British Antarctic Survey, Cambridge, UK
In the News
In the Media