CV

Experience

Internship at INRIA Grenoble with the THOTH team (https://team.inria.fr/thoth/) under the supervision of Hadrien Hendrikx (https://www.di.ens.fr/hadrien.hendrikx/) on detection and classification of insects on scanned pictures of the soil, using state of the art vision method (DINO_v2, ConvNext_v2, ViT) and custom modifications and training pipeline : implementation of hierarchical classification and of a self supervised Masked autoencoder pipeline. (Code available at https://gitlab.com/f.postic/deepsoilfauna)
Internship at INRIA Sophia-Antipolis with the GreenOwl team under the supervision of Olivier Bernard on the implementation of physic informed neural networks to estimate the coefficients in an ordinary differential equation system modelling populations of microalgae and bacteria in wastewater treatment system.

Master in Mathematics and AI, Paris-Saclay University, 2024-2026
- M2 (Common course with MVA and Centrale Supélec) : Reinforcement learning, Geometric Processing and Geometric Deep learning (MVA), Optimisation for Computer Vision (Centrale),Theoretical Foundements of Deep Learning (Centrale), Advanced Supervised and Unsupervised Methods, Math for the Generative Models, Probabilistic and Generative models, Deep Learning for NLP, Object Recognition (MVA), Representation Learning for Computer Vision and Medical Imaging (MVA)
- M1 : Probability (markov chains/process), deep learning, foundements of statistics, optimisation, advanced machine learning (supervised/unsupervised), 3 datachallenges and an implementation of a deep learning article on Vision Language Tasks
Double Bachelor in Mathematics and Biology, Université Côte d’Azur, 2021-2024
- Foudements of Mathematics (analysis, linear algebra, statistics, probability)
- Foudements of Biology (cellular and molecular biology, neuroscience, physiology, biochemistery, ecology, evolution, bioinformatics)
- IT : Highly proficient in Python programming, R programming and Linux system gestion