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Polar Oceans Seminar Talk - Giangiacomo Navarra

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  • UserGiangiacomo Navarra - Princeton
  • ClockWednesday 04 February 2026, 14:00-15:00
  • HouseBAS Seminar Room 1.

If you have a question about this talk, please contact Katherine Turner .

If you are external to BAS and would like to attend please reach out to the organisers before the talk and arrive at reception 10 minutes before so we can let you in.

Machine learning (ML) methods are increasingly transforming the analysis and modeling of ocean biogeochemistry by enabling the extraction of complex, nonlinear relationships from large and heterogeneous datasets. In this talk, I will present recent applications of ML to improve the reconstruction, prediction, and interpretation of key biogeochemical variables, specifically primary production and flux of oraganic carbon. I will highlight how data-driven approaches can complement traditional process-based models, enhance spatial and temporal coverage of observations, and provide new insights into the physical and biological drivers of ocean biogeochemical variability. Finally, I will discuss current challenges and future opportunities for integrating ML with mechanistic understanding to advance ocean biogeochemical modeling.

This talk is part of the British Antarctic Survey - Polar Oceans seminar series series.

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