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About me

I am a Ph.D. candidate in the ARGO team at Inria Paris and the Department of Computer Science at École normale supérieure–PSL, supervised by Ana Bušić and Jean-Michel Fourneau.

My Ph.D. research lies in applied probability and stochastic networks, with a particular focus on stochastic matching models. I study how network structure and matching policies shape stability and long-run performance, including the emergence of performance paradoxes.

Previously, I completed my master’s studies with a research focus on graph theory and spectral graph theory. My work explored connections between graph structure and matrix properties, including spanning-tree enumeration, graph rank, Laplacian matrices, and extremal spectral problems. During this period, I collaborated with Prof. Jianfeng Wang, Dr. Ning Bian, and other researchers.

I hold a bachelor’s degree in Applied Mathematics. My mathematical background connects algebraic and combinatorial methods with stochastic modeling and performance analysis.

You can find more information about my academic background, publications, and research experience in my CV.

Research Interests

  • Applied Probability and Stochastic Networks
    Stochastic modeling, matching and queueing systems, stability, performance analysis, and resource allocation.

  • Graph Theory and Combinatorics
    Structural and extremal graph problems, spectral graph theory, and algebraic methods in combinatorics.

  • Linear Algebra and Matrix Theory
    Spectral and structural properties of matrices, particularly their connections with graphs and other discrete structures.

Society Member

Editor, Reviwer

  • zbMATH Reviwer li.shu #21932, 2025-
  • Mathematical Reviews #187345, 2025-