Raymond Chu

Raymond Chu

Mathematics PhD Student

University of California, Los Angeles


Hi, I am Raymond. I am a fifth-year Mathematics Ph.D. student at UCLA, where I am advised by Professor Inwon Kim. I also completed my undergraduate studies at UCLA, majoring in Applied Mathematics under the guidance of Professor Marcus Roper.

For the 2024-2025 academic year, I am supported by the Dissertation Year Award. I am honored to have received the Horn Moez Prize (2021) from UCLA Mathematics for my high academic achievements and an Honorable Mention (2022) in the National Science Foundation’s Graduate Research Fellowship. Additionally, I was awarded the Liggett Fellow Award (2023) for excellence in teaching.

Download my Curriculum Vitae (last updated April 2024).

  • Partial Differential Equations
  • Probability Theory
  • Optimization
  • Mathematical Modeling
  • PhD in Mathematics, 2020-Present

    University of California, Los Angeles

  • MA in Mathematics, 2020-2022

    University of California, Los Angeles

  • BS in Applied Mathematics, 2016-2020

    University of California, Los Angeles


[1] R. Chu, I. Kim, Y. Kim, K. Nam, The Nonlocal Stefan Problem via a Martingale Transport, (2023) Topics: Analysis of Partial Differential Equations, Probability Theory, and Stochastic Optimization

[2] R. Chu, A Hele-Shaw Limit with a Variable Upper Bound and Drift, SIAM Journal on Mathematical Analysis. (2023), Topics: Analysis of Partial Differential Equations

[3] S. Christensen, R. Chu, C. Anderson, M. Roper, Fast Asymptotic-Numerical Method For Coarse Mesh Particle Simulation In Channels Of Arbitrary Cross Section, Journal of Computational Physics. (2022), Topics: Numerical Analysis

Qualification Exams

While studying for my qualification exams, I found it very helpful to type out my solutions to old exams. I hope these resources help future students with their preparation for their exams.

Analysis Qualifying Exam:

[1] Old Exam Solutions: Analysis Qualifying Exam Solutions (Spring 2010 - Fall 2020) pdf


Here’s a sample of my teaching evaluations. Below is a list of courses I have been an instructor or a teaching assistant for at UCLA.

Graduate Student Instructor

Winter 2023 UCLA Math 204 (Masters Real Analysis).

Teaching Assistant

Spring 2023 UCLA Math 42 (Introduction to Data-Driven Mathematical Modeling)

Fall 2022 UCLA Math 174E (Mathematical Finance)

Spring 2022 UCLA Math 142 (Mathematical Modeling)

Winter 2022 UCLA Math 266B (Applied Partial Differential Equations)

Fall 2021 UCLA Math 266A (Applied Ordinary Differential Equations)

Spring 2021: UCLA Math 131B (Real Analysis)

Winter 2021: UCLA Math 142 (Mathematical Modeling)

Fall 2020: UCLA Math 31A (Differential and Integral Calculus)