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 University
Paris FR
2020-21: Postdoc Computational Neuroscience
Collaborating with Prof. Thomas Serre
Brown University
Providence USA
2016-20: PhD Computer Science & Machine Learning (Defense in June 2020)
Supervised by Prof. Matthieu Cord and Prof. Nicolas Thome
Sorbonne University
Paris FR
2014-16: Master Computer Science & Machine Learning (Highest Honors)
Supervised by Prof. Matthieu Cord and Prof. Nicolas Thome
Sorbonne University
Paris FR
2012-14: Associate Major in Economics
Minor in Finance
Sorbonne University
Abu Dhabi UAE
2010-14: Bachelor Major in Computer Science
Minor in Mathematics
Sorbonne University
Paris 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

Go to remicadene.com for full list of publications.