I am a PhD student in the Machine Learning for Integrative Genomics team at Institut Pasteur and the Pinello Lab at Harvard Medical School. Co-supervised by Laura Cantini and Luca Pinello, my research focuses on developping methods based on probability, statistics and machine learning to infer Gene Regulatory Networks (GRNs) from temporal single-cell data. I hold a Master’s degree in Mathematics, Vision, and Learning (Master MVA) from ENS Paris-Saclay and an engineering degree from ENSC Bordeaux INP. I also have research experience in applied mathematics and machine learning through internships at Inria and Ubisoft La Forge.
Master MVA (Mathematics, Vision, Learning) - 18.2/20The MVA (Mathematics, Vision, Learning) is a Master 2 Research program created in 1996 by Robert Azencott. It is run by the Mathematics Department of ENS Paris-Saclay, co-accredited with the Institut Polytechnique de Paris, and shared with the École Nationale des Ponts et Chaussées and Université Paris Cité. Taken Courses
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Fall 2022 Exchange Program - 4.00 GPAUC Davis is a tier-one research university in the US. Taken Courses
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2020-2023 Master degree of Engineering in Computer Science and Cognitive Sciences - Valedictorian 17.4/20The Graduate School of Cognitive Engineering is a Bordeaux INP engineering school and is a member of the Conférence des Grandes Ecoles. Its unique program in France provides engineers with dual expertise in computer science, IT and in cognitive science. This school puts a strong emphasis on human-centered design, and the importance of keeping the human in the loop. Taken Courses
Extracurricular Activities
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2018-2020 Associate's degree in Computer ScienceThe University Technology Diploma in Computer science (DUT Informatique) is an intense 2-year training focused on computer science, and applied mathematics for computer science. Taken Courses
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Lycée Émile Littré2015-2018 Higher Secondary School - Baccalaureate in Science with high honoursThe baccalauréat is a French national academic qualification obtained at the end of the secondary education. The Science major prepares students to continue their studies in scientific fields such as medicine, engineering and natural sciences. |
PhD in a joint collaboration between the Machine Learning for Integrative Genomics team led by Laura Cantini at Institut Pasteur and the Pinello Lab led by Luca Pinello at Harvard Medical School.
Inria is the French national research institute for digital science and technology. I joined Astra-Vision, the computer vision group of Astra team (in collaboration with Valeo.AI) which is mainly focused on studying 2D vision and 3D perception.
Feb 2023 - Aug 2023, Bordeaux, France
Ubisoft La Forge is an open research and development initiative that brings together researchers and experts to bridge the gap between academic research and innovation in the video game world.
Inria is the French national research institute for digital science and technology. I joined the project-team ASTRAL which is mainly focused on advanced statistical and probabilistic methods for the analysis and the control of complex stochastic systems.
Pollen Robotics is a Startup working on Reachy, an expressive open-source humanoid robot programmable with Python and ROS. Developed with state-of-the-art AI & Robotics technologies, this robot can also be remotely teleoperated with VR.
Smartmoov is a Startup that enhances learning to drive using an application linked to an in-vehicle camera. The application automatically detects the student’s mistakes and creates statistics on the driving lesson.
IRISA is a research center of excellence with scientific priorities such as bioinformatics, systems security, new software architectures, virtual reality, big data analysis and artificial intelligence.
Theoretical and empirical study of the use of Weak Optimal Transport in generative modeling.
In depth analysis of the 3DGS method from a conceptual and experimental point of view to understand its limitations and potential improvements.
Conducted a theoretical and experimental analysis of the latent space in Variational Autoencoders using Riemannian geometry.
Explored a texture synthesis model that applies local transformations to Gaussian random fields by solving a semi-discrete optimal transport problem on patch space.
Explored limitations and extensions of a clustering method for multivariate time series based on the Common Principal Component Analysis (CPCA) method.
Neural network library with automatic differentiation made from scratch in Julia.
In depth study of the mathematical foundations of conditional diffusion models (see the post on this website). We also started a PyTorch implementation, which is not complete.
R package that allows to perform variable selection with a thresholded version of the Sliced Inverse Regression (SIR) method. (paper in progress)
Incrustation of 2D and 3D content on a dynamic surface in a video. To do so, several image processing algorithms have been implemented from scratch in Matlab.
A PyTorch script that can be used to extract the activation maps of a specific, or all the CNN’s layers.
Implementation of gradient descent algorithms (GD,SGD,BGD,…) for linear regression.
A roguelike game developed in C#. As a space adventurer, you need to find the 3 legendary artifacts as fast as possible!
Implementation of the board game Quarto in Prolog, with 3 levels of AI, including a variant of the MinMax algorithm.
Trans-disciplinary research project that has led to a scientific article presented by our tutor Jean-Marc Salotti at the International Astronautical Congress (IAC) 2021 at Dubai.
