About

Yue Wu is a Ph.D. candidate in the Division of Applied Mathematics at Brown University. His thesis advisor is Prof. Chi-Wang SHU. His main research interests lie in numerical methods for partial differential equations.

Outside of his academic life, he is an aviation enthusiast and enjoys road cycling, hiking and road trips. He grew up in Wuxi, a beautiful city in east China.

Please find his CV here.

Education

• 09/2023 ~ Present: Division of Applied Mathematics, Brown University
  • Ph.D. Candidate in Applied Mathematics (Advisor: Prof. Chi-Wang SHU)
• 09/2019 ~ 06/2023: School of the Gifted Young, University of Science and Technology of China
  • B.Sc. in Information & Computational Science
• 09/2017 ~ 06/2019: Wuxi No. 1 High School

Preprints

• Yue Wu and Yan Xu, A high-order local discontinuous Galerkin method for the \(p\)-Laplace equation, Beijing Journal of Pure and Applied Mathematics, to appear. arXiv:2311.09119.

Honors and Awards

• 06/2024: New Lotus Award, SGY Rose Scholarship 2023
• 06/2023: USTC Outstanding Undergraduate Award
• 06/2023: “Chia-Chiao Lin” Gold Medal in Applied and Computational Math track (Top 1 in China) & Team Silver Medal & Excellence Prize in Analysis and PDEs track, the 14^th S.-T. Yau College Student Math Contest
• 10/2022: Gold Prize, USTC Outstanding Student Scholarship
• 08/2022: Excellence Prize in Analysis and PDEs track, the 13^th S.-T. Yau College Student Math Contest
• 12/2021: China National Scholarship
• 12/2021: Second Prize, the 13^th Chinese Math Competitions
• 12/2020: China National Scholarship
• 09/2019: Third Prize, USTC Freshman Scholarship

Teaching Experiences

• Fall 2024 at Brown: Teaching Assistant, Operations Research: Deterministic Models (Instructor: Dr. Amalia V. CULIUC).
• Spring 2022 at USTC: Teaching Assistant, Computational Methods B (Instructor: Prof. Jingrun CHEN).

Posters and Presentations

• 07/2024: Poster session, the 2024 International Congress of Basic Science (ICBS), Beijing, China

Skills

• Programming: C/C++, Matlab, Fortran 95/2003, Python, LaTeX
• Parallel computing: MPI, OpenMP, Coarray Fortran
• Languages: (Mandarin) Chinese, English

Contact

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