Cassio Dantas
Researcher at INRAE
Montpellier, Occitania, France
Summary
👤
Senior🎓
Top SchoolCassio Dantas is a researcher and machine learning practitioner with nine years bridging signal processing and ML, currently applying deep learning to remote sensing at INRAE in Montpellier. He holds a PhD from Inria/Université de Rennes 1 on accelerating convex optimization for high-dimensional sparse regression and a dual engineering degree from Universidade Estadual de Campinas and École Polytechnique. His background spans R&D roles in industry (digital communications, SoC design) and multiple postdoctoral projects on latent factor estimation and cooperative ML, giving him a rare mix of theory-driven algorithm design and hands-on systems implementation. Known for translating mathematical advances into practical analysis pipelines, he combines strong academic rigor (top-of-class undergraduate, 4.0 MSc) with experience in real-world signal and hardware constraints.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Université de Rennes ICycle Polytechnicien, Ingénierie, Cycle Polytechnicien, Ingénierie at École PolytechniqueMaster’s Degree, Signal Processing, GPA 4.0, Master’s Degree, Signal Processing, GPA 4.0 at Universidade Estadual de Campinas
French, English, Portuguese
Github Skills (19)
optimization-methods9
benchmark9
statistics9
rlang9
optimization8
python8
benchmarking8
machine-learning8
optimizer8
data-science7
convex-optimization7
data-analysis7
scikit-learn6
square5
scikit5
Programming languages (1)
Github contributions (5)
cassiofragadantas/SuKro-DL
Mar 2017 - Dec 2017
Contributions:4 commits, 3 pushes, 1 branch in 9 months
cassiofragadantas/cassiofragadantas.github.io
Mar 2021 - Nov 2024
My personal webpage (forked from academicpages/academicpages.github.io)
Contributions:32 pushes in 3 years 9 months
personal-webpagewebpage
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