Liam Féve
Research Assistant
Liam Fève is a gap-year engineering student at Mines Paris – PSL, with a focus on data science and machine learning. He has a background in applied mathematics and works on projects involving time series analysis and predictive modeling.
His interests include the application of machine learning to environmental and ocean data. At the Nansen Center, he works on the analysis of ocean model simulations, with a focus on radionuclide dispersion. His work involves data processing, visualization, and comparing model outputs with observations.