Raymond Chu

Raymond Chu

Mathematics PhD Student

University of California, Los Angeles

Biography

Hi, I am Raymond. I am a fourth year mathematics PhD student at UCLA, where I am advised by Professor Inwon Kim. I was also an undergraduate at UCLA studying Applied Mathematics, where I was advised by Professor Marcus Roper.

I am honored to have recieved the Horn Moez Prize (2021) from UCLA Mathematics for my high academic achivements and an Honorable Mention (2022) in the National Science Foundation’s Graduate Research Fellowship. I have also recieved a teaching award Liggett Fellow Award (2023) from UCLA Mathematics.

Download my Curriculum Vitae (last updated 05/15/2023).

Interests
  • Partial Differential Equations
  • Probability Theory
  • Optimization
  • Mathematical Modeling
Education

  • 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

Publications

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

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

[3] R. Chu, I. Kim, Y. Kim, K. Nam, A Stochastic Optimization Approach To The Fractional Stefan Problems, In preparation, Topics: Analysis of Partial Differential Equations, Probability Theory, and Stochastic Optimization

[4] R. Chu, S. Christensen, H. Ji, M. Roper, A theory for curvature-induced migration in inertial microfluidic devices, In preparation, Topics: Mathematical Modeling

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

Basic Qualifying Exam Resources:

[1] Old Exam Solutions Basic Qualifying Exam Solutions (Spring 2010 - Spring 2020) pdf

[2] Math 204 Website Lecture Notes and Homework Made for Math 204 to prepare students for the basic Math 204 Website. The midterm given to the students in the class can be found on pdf.

[3] Math 131AH+131BH Lecture Notes Honors Real Analysis (Math 131AH and 131BH) lecture notes 131AH, 131BH 1/2, and 131BH 2/2.

The Honors Real Analysis Lecture Notes are from Professor Visan’s Math 131AH and 131BH class from Fall 2017 and Winter 2018. I would like to thank my friend Damien Lefebvre for typing up the lecture notes.

Teaching

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) Class Website.

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)

Contact