Pierre Sermanet
Co-Founder & Chief Scientist at UMA
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolPierre Sermanet is a machine learning and robotics researcher-entrepreneur with 12+ years of experience building practical deep learning systems for vision, speech, control and planning. Co-founder and Chief Scientist at UMA, he previously led research efforts at Google Brain and DeepMind after completing a PhD with Yann LeCun at NYU, and is the author of influential frameworks like OverFeat and EBLearn. His work spans end-to-end robotics stacks—mapping, planning and motion control—that proved remarkably robust in real-world DARPA-style navigation tasks through a novel fast & far (fast/slow) architecture. A competition-winning practitioner, he blends production-grade engineering with foundational research and has a track record of translating large-scale learning into deployed robotic behavior. Based in Paris, he also advises startups and brings a rare combination of hands-on systems building and deep theoretical grounding.
11 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (PhD) Deep Learning Computer Vision Robotics Machine Learning Speech Recognition, Doctor of Philosophy (PhD) Deep Learning Computer Vision Robotics Machine Learning Speech Recognition at New York UniversityBachelor's degree & Master's degree Computer Science Robotics, Bachelor's degree & Master's degree Computer Science Robotics at EPITA: Ecole d'Ingénieurs en Informatique
French, English
Github Skills (18)
machine-learning10
google10
ai10
tensorflow9
deep-learning9
benchmark3
benchmarking3
pretty-print2
lua2
canvas1
time-series1
dygraphs1
javascript1
visualization1
data-visualization1
Programming languages (4)
Github contributions (5)
sermanet/rewards
May 2017 - Feb 2018
Contributions:36 commits, 32 pushes, 1 branch in 8 months
learning-from-play/learning-from-play.github.io
Mar 2019 - Jun 2024
Contributions:12 pushes in 5 years 4 months
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