Charles Deledalle
Research Scientist Engineer - Machine Learning at Brain Corp
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolCharles Deledalle is a research scientist and machine learning engineer with over a decade of experience translating signal and image-processing theory into applied ML solutions at Brain Corp. He holds an engineering degree from EPITA, an MSc from Université Paris VI, and a PhD in signal processing from Télécom Paris, and has blended academic rigor with industry impact through roles at Université de Bordeaux and a visiting professorship at UC San Diego. His work has been recognized with multiple awards (including IEEE ICIP Best Student Paper and IEEE GRSS Transactions Prize Paper) and spans applied mathematics, image processing, and practical ML research for robotics. Comfortable moving between theory and production, he brings a track record of publishing, teaching excellence, and cross-continental collaboration that informs pragmatic, well-grounded research engineering.
12 years of coding experience
7 years of employment as a software developer
Engineer degree, Scientific calculus and images, Engineer degree, Scientific calculus and images at Ecole pour I'Informatique et les Techniques AvancéesPhd Student, Image processing, Phd Student, Image processing at Télécom ParisMaster, AI, ML, Image processing, Data mining, Master, AI, ML, Image processing, Data mining at Pierre and Marie Curie University
Github Skills (12)
computer-vision10
python10
image10
image-processing10
chrome-extension3
google-chrome2
chrome2
chromium1
noise1
matlab1
luminance1
denoising1
Programming languages (2)
Github contributions (5)
deledalle/sugar
Apr 2014 - Sep 2019
Contributions:3 commits, 2 pushes in 5 years 5 months
deledalle/scikit-image
Sep 2015 - Dec 2015
Contributions:2 pushes, 1 branch in 3 months
pythontoolboximage-processingscipyscikit
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