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

Julien Despois

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.

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

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

• Worked on the Unmanned Traffic Management (UTM) system for delivery drone Path Planning
Languages: Java, Python, C++

Software Development Engineer, Prime Air

• 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