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About me
I am a Ph.D. student in the ARGO team at INRIA Paris and the Département d’Informatique de l’ENS (DI ENS, PSL Université), advised by Prof. Ana Bušić. My research focuses on Learning in Dynamic Matching Learning Models, a topic at the intersection of algorithms, optimization, and learning theory.
Previously, I earned an M.Sc. in Graph Theory, where I explored advanced topics such as the Matrix-Tree Theorem, family graphs with small rank, and the vector Laplacian on graphs. My work involved collaborations with leading researchers, including Prof. Jianfeng Wang, Dr. Ning Bian, and others.
I hold a B.Sc. in Applied Mathematics, where I built a strong foundation in Linear Algebra, Number Theory, and Modern Algebra—disciplines that continue to shape my research.
Beyond my thesis, I am passionate about bridging theoretical insights with practical applications in computer science and mathematics. You can learn more about my academic journey in my CV.
Research interests
- Graph Theory, Graph Matrix
- Graph Application, Graphical Model
- Linear Algebra, Matrix Theory