curriculum vitae

General Information

First Name, Last Name Wendong, Liang
Languages Chinese (native), English (fluent), French (fluent), German (beginner), Latin (beginner)

Research Areas

  • My research focuses on representation learning, causality and information theory.

Education

  • 2023 - now
    Max Planck Institute for Intelligent Systems - PhD student
    • Tübingen, Germany
  • 2019-2023
    ENS Paris-Saclay – Diploma of ENS
    • Admitted in mathematics as ”Normalien”. One of the leading schools in France in mathematical sciences.
  • 2020 - 2022
    University Paris-Saclay – M.Sc. in Mathematics, Statistics and Machine Learning
    • Thesis: Independent Mechanisms in Neural Networks
  • 2017 - 2020
    University/ENS Paris-Saclay – B.Sc. in Mathematics
    • Thesis: Topological Data Analysis and Graph Decomposition
  • 2014 - 2018
    Nankai University – B.A. in French and Philosophy
    • Thesis: Ontologie axiomatique simondonnienne

Work Experience

  • 2022 - 2023
    Guest Researcher at Max Planck Institute for Intelligent Systems
    • Tübingen, Germany
  • Summer 2021
    Intern at Innsbruck University
    • Advisor: Tobias Fritz
    • Research on gs-monoidal categories and Markov categories, published at Applied Categorical Structures.
  • Summer 2020
    Intern at Centre Borelli
    • Topological Data Analysis and Graph Decomposition.
    • Note: for further details on my research, please see the publications page.

Honors and Awards

Computer skills

  • ○ Programming languages: Python, R.
  • ○ Frameworks: PyTorch, TensorFlow.

Volunteering Activities

Philosophy