Education
2021 - 2024: PhD in data science.
ANR InvovlD: Interactive Structured Pattern Mining (ANR-20-CE23-0023). The thesis is developed in collaboration with drug design scientists working on molecules and pharmacophores. This work aims to use a Partially Ordered Graph to provide key elements to chemists in order to help them discover key fragments for biological activity. For that we use various techniques as: local contrast selector (Outstanding Pattern Selector) and interactive reinforcement learning. [GREYC, University of Caen]
2020 - 2021: Research internship in data science.
Six-month internship in chemoinformatics supervised by A. ZIMMERMANN, B. CUISSART and A. OUALI ; funded by ANR InvovlD. The theme concerns the structuring of graph mining and the introduction of interactivity into the latter.[GREYC]
2019 - 2021: Master in theoretical computer science. [University of Rouen]
Formation in computer science and applied mathematics. Main topics where: Formal Languages, Computability, Algorithmic, Cryptography, Logic, Information Theory, Data Mining, Algorithmic Formal Analysis, Game Theory, Algebraic Combinatorics and Enumeration, Automata Theory, Quantum Computer Science and more.
2019 - 2020: Research internship in theoretical computer science.
Three month internship supervised by P. CARON, covering the understanding of some of the sub-families of star-free languages. [LITIS]
2015 - 2021: Bachelor in computer science. [University of Rouen]
2014 - 2015: First year bachelor in English civilization. [University of Rouen)]
Formations
2023 - 2024: Graphadon - graphs summer school (30h).
School starting from theoretical principles on graphs, to their use as a data model, as a simulation tool for agent management and as a visualization tool.
2023 - 2024: Formation to statistic studies (7h).
Training in the use of libraries for statistical testing of data.
2022 - 2023: Formation to scientific integrity (7h).
2022 - 2023: Formation to KNIME (14h).
Get to know the KNIME tool for creating pipelines from molecular database processing to supervised learning on these data.
2021 - 2022: Strasbourg Summer Schools of Chemoinformatics (S3C) (30h).
Summerschool presenting the latest advances in the field of chemoinformatics. Technologies and methods presented include clustering, supervised and semi-supervised learning, 2D and 3D visualization, and database structuring.
2021 - 2022: EGC winter school (14h).
Winter school introducing data mining, clustering, pattern mining and visualization.
2021 - 2022: Formation to deep learning (30h). [CNRS]
Course starting at the historical foundations of neural networks to the principles behind neural networks with physical information. Sessions include: the mathematics behind neural networks, convolutional neural networks, recurrent neural networks, transformers and more.
2021 - 2022: Formation to OpenMP (7h).
Training in program parallelization in Fortran, C and C++.
2019 - 2020: Formation in mental gesture pedagogy (7h).
Presentation of several pedagogical tools to help teachers adapt to different forms of dys (dyscalculia, dyslexia, etc.) and ADHD (Attention Deficit Disorder with or without Hyperactivity).