Research experience

Post-doctoral position: Machine learning and marine data

March 2024 – Present

LOCEAN Laboratory, Paris

Funding: NECCTON Horizon Europe project

  • Spatial Distribution of Taxonomic and Functional Diversity of Zooplankton in the Iroise Sea Marine Park (PNMI)
  • Use of quantitative imaging data (Zooscan), environmental data and machine learning techniques
  • Investigation of the relationship between plankton diversity (taxonomic and morphological) and environmental factors

PhD: Global Analysis of the Biological Carbon Pump Using Quantitative Imaging Data

2020 - 2023

LOV UMR 7093, Villefranche sur mer, Sorbonne Université

Funding: 50% H2020 European project TRIATLAS and 50% Ecole Doctorale 129, Sorbonne Université

  • Spatial Distribution of Zooplankton Biomass Using Quantitative Imaging Data (UVP5) and Machine Learning (niche modeling)
  • Compilation of imaging and climatological data (WOA, Copernicus, NOAA)
  • Export phenomenon in the North Atlantic during the EXPORTS campaign, 2021
  • Scientific campaigns at sea: Norwegian Fjords and North Atlantic

Master 2 internship: Global Distribution of Macroplankton Biomass Estimated by In Situ Imaging

2020 (6 months)

LOV UMR 7093, Villefranche sur mer, Sorbonne Université

  • Spatial Distribution of Zooplankton Using Quantitative Imaging Data (UVP5) and Machine Learning (Niche modeling)
  • Analysis of a large dataset from 25 oceanographic projects

M1 Internship: Numerical Simulations of Larval Dispersal of Paramuricea clavata

2019 (2 months)

LECOB UMR 8222, Banyuls sur mer, Sorbonne Université

  • Lagrangian models of larval dispersal and population connectivity

Education

  • 2022: FIDLE Introduction to Deep Learning, CNRS (17h)

Convolutional neural networks, evaluation of regression and classification models, sequential and temporal data. Theory and practice (Python).

  • 2022: Ocean Litteracy, Sorbonne Université and IMBRSea (3 weeks)

Communicate with different types of audiences (age, profession) using innovative learning methods.

  • 2021: Machine Learning 4 Ocean (ML4Ocean), Sorbonne Université (1 week)

Summer school on the use of artificial intelligence tools and machine learning in oceanography. Theory and practice (Python).

  • 2018 - 2020: Master degree of Marine Sciences, Sorbonne Université

Functioning of marine ecosystems and global changes course obtained with honors.

Functional ecology, oceanography, modeling, data processing.

  • 2018: Multivariate analyzes for marine ecology, Sorbonne Université (3 weeks)

Environmental data analysis methodologies. Theoretical and practical (R).

  • 2015 - 2018: Bachelor of Science in Life and Health, Université de Nice

Biology of Organisms and Ecosystems course, obtained with honors.

Ecology, diversity of organisms and ecosystems, statistics, genetics.

Awards and honors

  • December 2023: Thesis Scientific Publication Award, Foundation of the Sea and Ocean Institute of the Sorbonne University Alliance

  • 2020 - 2023: Half PhD Scholarship, Doctoral school 129, Sorbonne University

  • September 2022: 2nd Place for best poster, LOV laboratory seminar

  • September 2021: 2nd Place for best poster, TRIATLAS H2020 General Assembly

University Services

  • 2020 - 2023: Co-organizer of “LOV Student Seminars”

Welcoming new PhD students and interns, organizing practice sessions for thesis defenses, and themed seminars

  • 2020 - 2023: PhD Student Representative in Various Councils

    • 2022-2023: OSU-STAMAR Council

    • 2020-2023: Villefranche Oceanography Laboratory Council

    • 2020-2022: Villefranche Institute of the Sea Council

Advocating for doctoral students’ interests, contributing to decision-making processes, and fostering communication between students and laboratory.

  • 2018 - 2020: Co-organizer of “Green Lunch”

Organising weekly debates on environmental protection and sustainable development

Teaching

  • May 2024 (6h): Green Ocean Course, ENSTA, Paris

Classes on Marine plankton diversity and biological invasions

  • March 2024 (3.5h): Tara Ocean QLife Winter School, ENS, Paris

Practical work on zooplankton distribution and in situ imaging data on R

  • 2022 - 2023 (128h): Teaching Assistant Contract, 128h, Sorbonne University

Lectures and practical work with undergraduate and master’s students on modeling, taxonomy, and plankton diversity.

  • Co-supervision of Internships

    • Bachelor’s 2nd Year: “Impact of the coastal front on phytoplankton dynamics in the Iroise Marine Natural Park”, Sophia Mastouri, 2 weeks, 2024

    • Master’s 2nd Year: “Impacts of zooplankton on the carbon cycle of the equatorial Atlantic”, Hélène Thibault, 6 months, 2022

    • Master’s 1st Year: “Study of zooplankton communities along the equatorial Atlantic”, Hannah Haines, 2 months, 2021

Communication

Co-creation with Sakina-Dorothée Ayata of workshops for a preschool in partnership with the Aquarium of Porte Dorée. Development of worksheets on shapes, counting, and colors featuring my plankton illustrations. Co-creation of a board game about plankton food web.

Presentation of my research, teaching and communication activities related to marine life.

Public outreach on zooplankton research

  • 2021 - 2023: Scientific Animator, Petits débrouillards

Organized activities for various audiences, particularly on seas and coastlines.

  • 2020: Translation of PlanktonID website

English to French translation: PlanktonID Website