Yixuan Wang


Incoming PhD,
Applied + Computational Mathematics,
California Institute of Technology (Caltech)
E-mail: roywang [@] caltech [dot] edu, roywangyx [@] pku [dot] edu [dot] cn.

About Me

I received a B.S. degree in mathematics from Peking University (PKU), in 2020. My undergraduate supervisor is Prof. Ruo Li.
My graduate supervisor will be Prof. Thomas Yizhao Hou.
I will matriculate remotely in Caltech and join BICMR as a research assistant hosted by Prof. Ruo Li and Prof. Zhennan Zhou at Fall 2020.


My research interests broadly lie in

  • Numerical Analysis

  • Partial Differential Equation

  • Applied Probability

Actively looking for discussions and possible collaborations on interesting topics.

Find out more


  1. R. Li, Y.L Wang and Y.X. Wang. Approximation to Singular Quadratic Collision Model in Fokker-Planck-Landau Equation, SIAM Journal on Scientific Computing, 42(3), 2020, pp. B792-B815. [paper]

  2. Z. Liu, S. Qian, Y. Wang, Y. Yan and T Yang. (2020) Schrödinger PCA: You Only Need Variances for Eigenmodes. Submitted to NeurIPS. [arxiv]

  3. Y. Chen, T.Y. Hou and Y. Wang. (2020) Exponential Convergence for Multiscale Linear Elliptic PDEs via Adaptive Edge Basis Functions. Submitted to Multiscale Modeling and Simulation. [arxiv]

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