Hi!
I am a research scientist at the National Oceanography Centre (NOC) in Southampton, UK. My research explores the application of machine learning to improve our understanding and representation of zooplankton diversity in biogeochemical models as well as various aspects of oceanography. As a numerical ecologist, I am particularly interested in plankton ecology and distribution. My work primarily involves developing and using computational approaches, including multivariate statistics, machine learning, and deep learning, to analyze large oceanic datasets.
Curriculum
Current | Research Scientist, Zooplankton diversity in biogeochemical modelling using machine learning (projects CALIPSO and BIOcean5D), National Oceanography Centre, Southampton, UK.
2019-2023 | PhD Thesis in Ecology, Plankton distribution across scales: contribution from artificial intelligence to plankton ecology, Laboratoire d’Océanographie de Villefranche, Sorbonne Université, France. Manuscript
2018-2019 | Master in Marine Sciences, Sorbonne Université, France.
2017 | “Agrégation” in Life Sciences, Earth and Universe Sciences, rank 15/1500, ENS Paris-Saclay, France.
2014-2015 | BSc in Biology, ENS Paris-Saclay, France.
2014 | Admitted into École Normale Supérieure Paris-Saclay, rank 37/700.
Skills
Programming
R (tidyverse, tidymodels, shiny)
Python (tensorflow, pytorch, scikitlearn)
MatLab
Shell
Data Science
Deep learning: image classification and segmentation with Convolutional Neural Networks
Machine learning: classification and regression models (random forest, gradient boosting…)
Multivariate statistics
Languages
French: native speaker
English: fluent
Spanish: intermediate
Teaching
2019 - 2023
Master in Marine Sciences | Sorbonne Université
Methods for the Exploitation of Data in Oceanography
Response of the pelagos to environmental changes
Multivariate Analyses for Marine Ecology
Bachelor in Biology | Sorbonne Université
Exploration of pelagic marine ecosystems from autonomous platforms
Immersion in a marine station
