Leon Gatys
Machine Learning Researcher at Apple
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLeon Gatys is a Machine Learning Researcher and leader with 12 years of experience, currently heading Apple’s Responsible AI Research team to study emergent multimodal risks, human-AI interaction harms, and scalable red-teaming methods. He is best known for pioneering Neural Style Transfer—work cited over 15,000 times—that helped catalyze early generative AI research and commercial products. His background spans applied health ML at Apple (including contributions to the Apple Watch hypertension notification algorithm), founding startups that translate physiological signals into predictive models, and making creative AI accessible through DeepArt. Leon blends deep academic training (PhD in Machine Learning) with product-facing impact, moving ideas from publications into deployed systems. Based in Seattle, he balances cutting-edge research on AI safety with practical auditing tools and adversarial evaluation techniques. An uncommon thread in his career is pairing aesthetic generative research with rigorous biomedical and safety-focused engineering.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of TübingenUniversity College London
Github Skills (28)
style-transfer10
neural-style-transfer10
pytorch7
relational-model7
relational-algebra7
relational-databases6
datajoint6
python5
relational4
mysql4
databases4
pipeline-framework4
deep-learning4
data-analysis4
science4
Programming languages (3)
Github contributions (5)
leongatys/NeuralImageSynthesis
Jun 2016 - Feb 2017
Contributions:40 commits, 2 comments, 2 issues in 7 months
leongatys/fast-neural-style
Oct 2016 - Feb 2017
Contributions:24 commits in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.