My research is focused on learning complex behaviors with neural networks in order to deploy them in real world settings. To this end, I am working on novel architectures, learning approaches, theoritical frameworks and explainability methods. I like to contribute to open-source projects and to read about neuroscience. | ||
Professional Experience | ||
2023-: Scientist | Humanoid Robots at Tesla | |
2021-2023: Scientist | Self-Driving Vehicules at Tesla | |
2019: Intern | Research directions advised by Devi Parikh (Assoc. Prof.) | |
2018: Intern | Research directions advised by Andrej Karpathy (Sr. Director of AI) | |
2016-18: Advisor | Optical character recognition | Calfa |
2014-15: Developer | Social network | OpeningStage |
Education | ||
2020-21: Postdoc | Deep Learning Collaborating with Prof. Matthieu Cord |
Sorbonne UniversityParis FR |
2020-21: Postdoc | Computational Neuroscience Collaborating with Prof. Thomas Serre |
Brown UniversityProvidence USA |
2016-20: PhD | Computer Science & Machine Learning (Defense in June 2020) Supervised by Prof. Matthieu Cord and Prof. Nicolas Thome |
Sorbonne UniversityParis FR |
2014-16: Master | Computer Science & Machine Learning (Highest Honors)
Supervised by Prof. Matthieu Cord and Prof. Nicolas Thome |
Sorbonne UniversityParis FR |
2012-14: Associate | Major in Economics Minor in Finance |
Sorbonne UniversityAbu Dhabi UAE |
2010-14: Bachelor | Major in Computer Science Minor in Mathematics |
Sorbonne UniversityParis FR |
Teaching | ||
2016-19: Assistant | Deep Learning and Pattern Recognition for Computer Vision (Master) | Sorbonne University |
2016-19: Assistant | Practical Introduction to Deep Learning for Image Classification (Master) | Sorbonne University |
2016-19: Assistant | Java and Object-Oriented Programming (Bachelor) | Sorbonne University |
Selected Talks | ||
2020 | Detecting and avoiding data biases | ValeoAI |
2019 | Artificial intelligence and its impact | Bluenove |
2019 | Learning complex behaviours from data | Brown University |
2019 | Introduction to Large Scale Deep Learning | MVA MasterClass, ENS |
2017 | Recurrent Neural Networks and Visual Question Answering | UCA Deep Learning School |
2017 | Artificial Intelligence and its impact on society | Nova |
2016 | Transfer Learning for Image Classification | ML Meetup |
Selected Software Releases | ||
2019 | Library of multimodal fusion methods - block.bootstrap.pytorch | 230 stars |
2018 | Framework for accelerating research in Deep Learning - bootstrap.pytorch | 180 stars |
2018 | Library of convolutional neural networks - pretrained-models.pytorch | 7.6k stars |
2017 | Toolkit for Visual Question Answering - vqa.pytorch | 590 stars |
2016 | Déjà Lu: Website for organizing research papers - djlu.fr | 50 stars |