Raymond Chu

Raymond Chu

Mathematics PhD Student

University of California, Los Angeles

Biography

Hi! I am a second year PhD student studying mathematics at University of California, Los Angeles (UCLA), where I am advised by Professor Inwon Kim. I am interested in the connection between Partial Differential Equations and Probability Theory.

As an undergraduate, I studied Applied Mathematics at UCLA and worked with Professor Marcus Roper on inertial migration of particles.

I am also interested in mentoring undergraduates. I am currently a committee member and mentor for the Directed Reading Program (DRP) at UCLA. I am also a graduate student represenative for the Undergraduate Studies Committee.

Download my Curriculum Vitae (last updated 03/30/22).

Interests
  • Partial Differential Equations
  • Probability Theory
  • Calculus of Variations
  • Mathematical Modeling
Education

  • PhD in Mathematics, 2020-Present

    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, In Submission

[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

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: Analysis Qualifying Exam Solutions (Spring 2010 - Fall 2020) pdf

Basic Qualifying Exam: Basic Qualifying Exam Solutions (Spring 2010 - Spring 2020) pdf

Basic Qualifying Exam: 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

Spring 2022 UCLA Math 142 (Mathematical Modeling)

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

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

Spring 2021: UCLA Math 131B (Real Analysis) Review

Winter 2021: UCLA Math 142 (Mathematical Modeling) Review

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

Contact