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Julien Despois

Senior Machine Learning & Deep Learning Scientist at L'Oréal AI Research

Paris, FR

About

I am a young creative, passionate about Artificial Intelligence, with a strong expertise in Machine Learning and specialized in Deep Learning (5+ years of experience). You can find my personal projects, along with my blog articles on my website https://ai-odyssey.com or Medium https://medium.com/@juliendespois.

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Work experience

  1. April 2018 – present

    L'Oréal

    Senior Machine Learning & Deep Learning Scientist, L'Oréal AI Research
    Projects in production: • Designed and trained skin diagnostic algorithms for Lancôme Skin Screen, deployed worldwide Published: • High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs (Oral, ECCV 2020 Workshop) Research: • Photorealistic multi-domain image generation & translation with Conditional Generative Adversarial Networks (StyleGAN, StarGAN, etc.) • GAN-based skincare product effect simulation • Image processing, classification & regression with Convolutional Neural Networks (CNN) • Pairwise image comparison with Siamese Convolutional Neural Networks for ranking • Model bias detection via Feature Visualization & Adversarial Attacks in continuous space Frameworks: PyTorch, TensorFlow, Keras
  2. July 2016 – March 2018

    Amazon

    Software Development Engineer, Prime Air
    • Worked on the Unmanned Traffic Management (UTM) system for delivery drone Path Planning Languages: Java, Python, C++
  3. University of California, Berkeley
    August 2015 – June 2016

    University of California, Berkeley

    Graduate Student Researcher in AI, Spherical Soft Tensegrity Robots for NASA Space Missions
    • Implemented artificial intelligence algorithms to estimate the robot's location according to instruments measures, and find most efficient locomotion policies to reach a target location • Built a simulation environment for the Spherical Tensegrity Robot using Mars Reconnaissance Orbiter topographic data • Worked in a team of 15+ people from various departments including engineers as well as undergraduate, graduate and Phd students Learn more about this here: https://www.quora.com/What-are-examples-of-AI-coming-up-with-unconventional-solutions/answer/Julien-Despois

Education

  1. 2015 – 2016

    University of California, Berkeley

    Master of Engineering (MEng.), Cyber-Physical Systems with emphasis in Computational Analytics
  2. 2013 – 2016

    ISAE-SUPAERO

    Master's Degree (MSc.), Aerospatial Engineering & Computer Science
  3. 2011 – 2013

    Montaigne (Bordeaux)

    Classes Préparatoires aux Grandes Ecoles, MPSI/MP