Ray Qu 瞿锐

Ray Qu 瞿锐

Ph.D. Student in Computational and Applied Mathematics

Rice University CMOR

Biography

Welcome! I’m a third-year Ph.D. student, advised by Dr. Jesse Chan, in the Department of Computational Applied Mathematics and Operations Research at Rice University. My research interests include mathematical physics and numerical methods for PDEs, and I’m currently working on entropy stable reduced order modeling (ES-ROM) of nonlinear conservation laws using discontinuous Galerkin methods.

Outside of Rice, my experience includes an internship at Los Alamos National Laboratory, mentored by Dr. Svetlana Tokareva, where I applied model order reduction to stochastic finite volume methods for uncertainty quantification.

I received my B.S. degrees in Mathematics and Statistics with Highest Distinction from the University of North Carolina at Chapel Hill. My undergraduate research, mentored by Dr. Pedro Sáenz and in collaboration with Dr. Rodolfo Rosales, was on active spinwaves in hydrodynamic spin lattices (HSLs).

Interests
  • Reduced Order Modeling
  • Numerical Methods for PDEs
  • Mathematical Physics
Education
  • Ph.D. in Computational and Applied Mathematics, 2027 (expected)

    Rice University

  • B.S. in Statistics and Analytics; B.S. in Mathematics, 2021

    University of North Carolina at Chapel Hill

Experience

 
 
 
 
 
Graduate Research Assistant
January 2023 – Present Houston, TX
Extending reduced order modeling of nonlinear conservation laws from finite volume methods to discontinuous Galerkin methods with new hyper reduction techniques.
 
 
 
 
 
Graduate Research Assistant
June 2024 – August 2024 Los Alamos, NM
Research internship in the Group of Applied Mathematics and Plasma Physics (T-5). Applied model order reduction to stochastic fintie volume methods for uncertainty quantification in stochastic PDE systems.
 
 
 
 
 
Undergraduate & Postbaccalaureate Research Assistant
October 2019 – August 2022 Chapel Hill, NC
Studied active sprintronics enabling bistability-based computations in hydrodymanic spin lattices (HSLs).

Service

RTG in Numerical Mathematics & Scientific Computing (NASC)
2023-2024, Rice CMOR Grad Seminar Chair
CMOR 304 Differential Equations in Engineering and Science (FA 24, Teaching Assistant)
CMOR 527 Discontinous Galerkin methods (SP 24, Grader)
CMOR 302 Matrix Analysis (FA 23, Teaching Assistant)
CAAM 382 Stochastic Models (SP 23, Grader)
CAAM 378 Intro to OR and Optimization (FA 22, Grader)

Awards

2024 MORe Conference Support
2024 Alan Weiser Memorial Travel Award
2021 UNC Summer Graduation Scholarship

Conference and Talks

Upcoming: 2025 SIAM CSE, 2025 ICOSAHOM
Oct, 2024, Houston, TX: RTG-NASC Annual Workshop (talk)
Sep 2024, Houston, TX: Master’s Thesis Defense (talk)
Sep 2024, La Jolla, CA: Model Order Reduction and Surrogate Modeling (poster)
Jul 2024, Vancouver, Canada: WCCM-PANACM (talk)
Apr 2024, Houston, TX: RTG-NASC Ranch Retreat (talk)
Mar 2024, Houston, TX: Finite Element Rodeo (talk, photo, news)
Feb 2024, Houston, TX: CMOR Grad Seminar (talk)
Nov 2023, Lafayette, LA: SIAM TX-LA 6th Annual Meeting (poster)
Oct 2023, Houston, TX: RTG-NASC Annual Workshop (poster)
Mar 2023, College Station, TX: Finite Element Rodeo
Nov 2022, Houston, TX: SIAM TX-LA 5th Annual Meeting

Recent Publications

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