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About me

I am a Ph.D. student in the ARGO team at INRIA Paris and the Computer Science Department of École Normale Supérieure (DI ENS, PSL University), under the guidance of 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. degree in Graph Theory, where I explored advanced concepts like 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 Bachelor’s degree in Applied Mathematics, where I developed a strong foundation in Linear Algebra, Number Theory, and Modern Algebra. These mathematical disciplines continue to inform my current research.

Beyond my thesis, I am passionate about connecting theoretical insights with practical applications in computer science and mathematics. You can explore my academic journey and other interests in my CV.

Research interests

  • Graph Theory, Graph Matrix
  • Graph Application, Graphical Model
  • Linear Algebra, Matrix Theory

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