Youngsoo Choi
Scholar

Youngsoo Choi

Google Scholar ID: sR5IHFQAAAAJ
Research Scientist, LLNL
Numerical linear algebraNumerical optimizationModel order reductionDesign optimizationMachine learning
Citations & Impact
All-time
Citations
2,404
 
H-index
27
 
i10-index
39
 
Publications
20
 
Co-authors
56
list available
Resume (English only)
Academic Achievements
  • Contributed to open source projects such as libROM, pylibROM, LaghosROM, and more. Has given talks at various international conferences and seminars.
Research Experience
  • Currently a staff scientist at LLNL’s CASC group, where he develops efficient foundation models for computational science. Leads the libROM team in data-driven surrogate modeling.
Education
  • Earned his BS from Cornell and his PhD from Stanford. He was a postdoc at Sandia National Laboratories and Stanford University before joining LLNL in 2017.
Background
  • Research interests include creating surrogates and reduced-order models to accelerate time-critical simulations in areas such as inverse problems, design optimization, and uncertainty quantification. He has pioneered advanced ROM techniques.
Miscellany
  • Personal interests and other information not provided.