Scholar
Romain Chor
Google Scholar ID: VNjZ9WwAAAAJ
PhD Student
Citations & Impact
Citations
38
H-index
3
i10-index
2
Publications
4
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Several papers under review or accepted for publication in journals such as NeurIPS and IEEE Transactions on Information Theory. Participated in international conferences like ISIT, ICML, where he presented talks or posters. Also served as a reviewer for top-tier conferences and journals including NeurIPS 2024, AISTATS 2025, ICML 2025, ECAI 2025, and IEEE Transactions on Information Theory.
Research Experience
- Started as a Ph.D. student in Statistical Learning at Huawei Paris Research Center and Laboratoire d'Informatique Gaspard Monge since 2022. Worked as a research engineer at Laboratoire d'Informatique Gaspard Monge from November to December 2019. Interned as a Data Scientist at Safety Line, Paris, in 2020.
Education
- Pursuing a Ph.D. in Statistical Learning since January 2022 at Huawei Paris Research Center and Laboratoire d'Informatique Gaspard Monge (LIGM, Université Gustave Eiffel). Supervised by Abdellatif Zaidi (Huawei Paris Research Center & LIGM) and Abderrezak Rachedi (LIGM). Obtained M.Sc. in Statistics from Sorbonne Université, Paris, 2019-2020.
Background
- Ph.D. student in Statistical Learning, with research interests focusing on theoretically characterizing the generalization performance of distributed learning algorithms (in particular Federated Learning), especially via information-theoretic tools and developing generalization-aware algorithms.
Miscellany
- Has a GitHub repository dedicated to Data Science, containing several recent and undergraduate projects.
