Adel Nabli
PhD Student at Sorbonne University
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolAdel Nabli is a PhD student and researcher based in Paris with 8 years of experience at the intersection of decentralized asynchronous optimization, federated learning, and deep learning. He is currently pursuing doctoral work at Sorbonne University and Mila under supervisors including Edouard Oyallon and Eugene Belilovsky, focusing on scalable distributed optimization for neural networks. His background spans research roles at Inria and ENS on vision transformers and unsupervised speech representation learning, plus practical experience in industry and applied data science. Adel has published and contributed to work on computational complexity and ML (including NeurIPS 2020) and brings a rare blend of theoretical rigor and hands-on engineering. Outside academia he led a global non-profit music initiative, showing leadership in project design, team management, and creative production.
8 years of coding experience
2 years of employment as a software developer
M.Sc., Applied Mathematics, M.Sc., Applied Mathematics at Ecole Centrale ParisM.Sc. by research, Computer Science, M.Sc. by research, Computer Science at Université de Montréal
English, French, Spanish
Github Skills (6)
multilevel9
solve8
nodejs5
speech3
asynchronous3
data-augmentation3
Programming languages (2)
Github contributions (5)
AdelNabli/Courses-Udem
Oct 2019 - Jan 2022
Contributions:170 pushes, 1 branch in 2 years 3 months
AdelNabli/MCN
Mar 2020 - Jul 2020
Learning to solve the Multilevel Critical Node Problem
Contributions:294 commits, 2 PRs, 236 pushes in 3 months
solvecriticalnodejsmultilevelproblem
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