Youngsoo Choi

Portrait of  Youngsoo Choi

  • Title
    Research Scientist Staff
  • Email
  • Phone
    (925) 422-0217
  • Organization
    Not Available

ORCID: here, Google Scholar: here

Are you interested in collaboration? Please do not hesitate emailing Youngsoo!

Youngsoo is a computational math scientist in CASC under Computing directorate at LLNL. His research focuses on developing efficient reduced order models for various physical simulations for time-sensitive decision-making multi-query problems, such as inverse problems, design optimization, and uncertainty quantification. His expertise includes various scientific computing disciplines as indicated in "Research interests" below. Together with his collaborators, he has developed various powerful model order reduction techniques, such as machine learning-based nonlinear manifold and space-time reduced order models for nonlinear dynamical systems. He has also developed the component-wise reduced order model optimization algorithm, which enables fast and accurate computational modeling tool for lattice-structure design. He is currently leading data-driven surrogate modeling development team for various physical simulations, with whom he developed the open source codes, libROM and LaghosROM. He is also involved with quantum computing research. He has earned his undergraduate degree for Civil and Environmental Engineering from Cornell University and his PhD degree for Computational and Mathematical Engineering from Stanford University. He was a postdoc at Sandia National Laboratories and Stanford University prior to joining LLNL in 2017.

YouTube/Virtual Conference/Seminar Talks [Recorded Videos]

libROM Tutorial Videos

Open-source codes

Research Interests


Upcoming Presentations


PostDoc., Sandia National Laboratories, Livermore, CA, 2015 – 2017

PostDoc., Farhat Research Group, Stanford, CA, 2013 – 2015

Ph.D., Computational and mathematical engineering, Stanford University, 2013

B.S., Civil and environmental engineering, Cornell University, 2007

A.S., Engineering, Montgomery County Community College, 2004

  • Director's Science and Technology Excellence in Publication Award at LLNL in 2023
  • Best Instructor Award from the AHPCRC summer institute at Stanford University in 2015
  • Dean’s Office Award for the Stanford Opportunity Job Fair Research Poster in 2013
  • Best Instructor Award from the AHPCRC summer institute at Stanford University in 2011
  • Best Paper Award from the Society for Risk Analysis in 2010
  • Recipient of Stanford ICME Ph.D Fellowship in 2007
  • Elaine and Herman Blumenthal Award for Academic Excellence
  • The Mathematics Faculty Award for Excellence
  • CRLA Regular Tutoring Certificate
  • A member of Phi Theta Kappa Honor Society
  • A member of Golden Key Honor Society
  • A member of Tau Beta Pi Engineering Honor Society