Education
- MSc. Learning Vision and Applied Mathematics (MVA)ENS Paris-Saclay, FRANCE
Grade: 17.6 / 20Sept. 2021 - Sept 2022
- First Semester: 3D Computer Vision, Convex Optimization, Computational Statistics, Numeric Imaging, Object Recognition.
- Second Semester: Speech and Natural Language Processing, Advanced Deep Learning, Kernel Methods, Deep Reinforcement Learning and Audio Signal Analysis.
- Master’s Degree in Mathematics (ENPC)Ecole des Ponts ParisTech, FRANCE
Grade: GPA 3.90 / 4Sept. 2018 - 2023 (expected)
- Top-Tier French Engineering School, Department of Mathematics and Computer Science.
- Main courses: Mathematics, Machine Learning, Computer Vision, Operational Research, Stochastic Processes, Fourier Analysis.
- BSc. at Lycée PasteurNeuilly Sur Seine, FRANCE
Grade: First class honours Sept. 2016 - Aug. 2018- Two intensive years in Mathematics and Physics with Engineering Option. to prepare Engineering School Competitive Exam Entrance.
- Two intensive years in Mathematics and Physics with Engineering Option. to prepare Engineering School Competitive Exam Entrance.
- Lycée Alexandre Dumas, High SchoolSaint-Cloud, FRANCE
Grade: 18 / 202013 - 2016
Work Experience
- Research Intern - Valeo AIParis, FRANCE
Supervised by Patrick Perez.Apr. 2022– Sept. 20223D Facial, Hand and Human Pose Body Estimation for Driver Monitoring.
Survey and review of the extisting interior monitoring datasets.
- Research Intern - Ecole Normale Supérieure and InriaParis, FRANCE
Supervised by Juliette Millet, Ewan Dunbar and Emmanuel Dupoux.Mar. 2021– Jul. 2021- In Cognitive Machine Learning Team (CoML), in the Department of Cognitive Science.
- Compared common Automatic Speech Recognition Models performances (supervised and self-supervised) to model Human Speech Perception.
- Developed a dataset storing website and the related documentation in Python which was used toi carry out experiments.
- Deep Learning Scientist - StereoLabsMontrouge, FRANCE
Supervised by Edwin Azzam (CTO).Jul. 2020– Jan. 2021- 3D skeleton inference on images from incomplete 3D data, leveraging full body context (PyTorch, OpenCV).
- 3D skeleton inference on images from incomplete 3D data, leveraging full body context (PyTorch, OpenCV).
- Physics Oral ExaminerNeuilly-Sur-Seine, FRANCE
Sept. 2019– Mar. 2020- Interrogated students on a weekly basis in physics to train them for the Engineering Schools competitive entrance exams.
- Interrogated students on a weekly basis in physics to train them for the Engineering Schools competitive entrance exams.
Academic Projects
- Study of Character-Level Language ModelParis-Saclay, FRANCE
Supervised by Benoit Sagot (Inria ALMANACH) and Emmanuel Dupoux (INRIA CoML and FAIR).Mar. 2022– Apr. 2022- Compared Character-based LM to common SOTA word-based LM (mBert) on multilinigual classification and Question and Answering tasks.
- Compared Character-based LM to common SOTA word-based LM (mBert) on multilinigual classification and Question and Answering tasks.
- Image Classification with Kernel MethodsParis-Saclay, FRANCE
Supervised by Julien Mairal and Michael Arbel (Inria THOTH team).Mar. 2022– Apr. 2022- Kaggle data challenge to classify images relying on Kernel models.
- Kaggle data challenge to classify images relying on Kernel models.
- Image Completion using GANsParis-Saclay, FRANCE
Supervised by Yann Gousseau (Telecom ParisTech).Jan. 2022– Feb. 2022- Ablation study on a GAN to render the inpainting result more consistent locally and globally.
- Ablation study on a GAN to render the inpainting result more consistent locally and globally.
- 3D action-conditioned human motion synthesisParis-Saclay, FRANCE
Supervised by Gül Varol (Imagine, ENPC).Jan. 2022– Feb. 2022- 3D human motions with generative models (VAE transformers).
- 3D human motions with generative models (VAE transformers).
- Using Mixture of Experts (MoE) to model Global warmingParis-Saclay, FRANCE
Supervised by Stéphanie Allassonière (Prairie).Jan. 2022- Proposed a refined GMM-model to explain annual temperature variations.
- Proposed a refined GMM-model to explain annual temperature variations.
- Real-time Swimmer TrackingChamps-sur-Marne, FRANCE
Supervised by Rémi Carmignani and Vincent Lepetit (Imagine ENPC) .Jan. 2020 -Jun. 2020- In partnership with Sciences 2024, developed a model to track swimmers in realtime in the view of the Olympic Games in 2024.
- In partnership with Sciences 2024, developed a model to track swimmers in realtime in the view of the Olympic Games in 2024.
- Realtime pricing system for self-service vehicle applicationChamps-sur-Marne, FRANCE
Supervised by Frédéric Meunier (CERMICS ENPC) .Oct. 2019 -Feb. 2020 - Proposed a simulator to model the self-resupplying of parisian bike stations.
Personal Projects
- Deployment of University Grants PlatformApr. 2022 - present
- Developing a website to centralize and list the University Grants accessible to students.
- Developing a website to centralize and list the University Grants accessible to students.
- Conception of an Electrical SkateboardDec. 2020 - 2021
- Built an electrical skateboard from scratch.
- Built an electrical skateboard from scratch.
- MRI Annotation application for Bordeaux HospitalFeb. 2021
- Developed an app to help cardiologists to annotate scars on MRI (Python Flask).
- Developed an app to help cardiologists to annotate scars on MRI (Python Flask).
Computing Skills
Frameworks:
- Linux
- Git / Gitlab
- Latex, Beamer
- Slack, Trello
- Microsoft office
Programming Languages:
- Python (6+ years)
- C++ (3+ years)
- HTML/CSS/JavaScript (beginner)
Programming Libraries: Pytorch, OpenCV, pandas,plotly, tensorboard, wandb, etc.
Languages
French: Mother tongue.C2
English: Proficiency.C1-C2
Japanese: Conversational, live in Tokyo for seven years.B1-B2
Spanish: Conversational.B1-B2
Chinese: Notions.A2
Italian: Notions.A2