Siu Wun "Tony" Cheung is a research scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. He obtained his doctoral degree in mathematics from Texas A&M University in 2020. His broad research area is in computational mathematics and scientific computing. His research interests include reduced order modeling, scientific machine learning, multiscale finite element methods, and discontinuous Galerkin methods.

At LLNL, Tony is a core member of the reduced order modeling team who contribute to libROM and the Python interface pylibROM. He has been developing reduced order modeling and machine learning approaches for accelerating several open-source scientific software packages, such as Laghos and MGmol.

You may find more about Tony at his personal homepage (not affiliated with or sponsored by LLNL).

Ph.D. in Mathematics (2020), Texas A&M University, College Station, Texas.

M.Phil. in Mathematics (2016), The Chinese University of Hong Kong, Hong Kong.

B.Sc. in Mathematics (2014), The Chinese University of Hong Kong, Hong Kong.

Selected publications (Full publication list on Google Scholar):

1. Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung, Jean-Luc Fattebert, Coleman Kendrick, and Daniel Osei-Kuffuor.
   Theory and numerics of subspace approximation of eigenvalue problems.
   Applied Mathematics and Computation, 511 (2026), 129722.
    
2. Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi, and Yeonjong Shin.
   tLaSDI: Thermodynamics-informed latent space dynamics identification.
   Computer Methods in Applied Mechanics and Engineering, 429 (2024), 117144.
    
3. Siu Wun Cheung, Amit Kushwaha, Huafei Sun, and Xiao-Hui Wu.
   Stochastic representation and conditioning of process-based geological model by deep generative and recognition networks.
   Petroleum Geoscience, 30 (2024), petgeo2022-032.
    
4. Siu Wun Cheung, Youngsoo Choi, H. Keo Springer, and Teeratorn Kadeethum.
   Data-scarce surrogate modeling of shock-induced pore collapse process.
   Shock Waves, 34 (2024), 237-256.
    
5. Siu Wun Cheung, Youngsoo Choi, Dylan M. Copeland, and Kevin Huynh.
   Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition.
   Journal of Computational Physics, 472 (2023), 111655.
    
6. Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh, and Youngsoo Choi.
   Reduced order models for Lagrangian hydrodynamics.
   Computer Methods in Applied Mechanics and Engineering, 388 (2022), 114259.
    
7. Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, and Wing Tat Leung.
   Explicit and energy-conserving constraint energy minimizing generalized multiscale discontinuous Galerkin method for wave propagation in heterogeneous media.
   Multiscale Modeling & Simulation, 19 (2021), 1736-1759.
    
8. Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Eduardo Gildin, Yating Wang, and Jingyan Zhang.
   Deep global model reduction learning in porous media flow simulation.
   Computational Geosciences, 24 (2020), 261-274.
    
9. Siu Wun Cheung, Eric Chung, and Wing Tat Leung.
   Constraint energy minimizing generalized multiscale discontinuous Galerkin method.
   Journal of Computational and Applied Mathematics, 380 (2020), 112960.
    
10. Siu Wun Cheung, Eric Chung, and Hyea Hyun Kim.
    A mass conservative scheme for fluid-structure interaction problems by the staggered discontinuous Galerkin method.
    Journal of Scientific Computing, (2018) 74, 1423–1456.

Selected awards:

• Director’s Science and Technology Excellence in Publication Award, LLNL, 2024
   
• ICIAM 2023 Travel Award
   
• SIAM Travel Awards - MDS22, GS21, CSE21, MDS20, UQ20, and GS19
   
• USACM Travel Awards - USNCCM17 and USNCCM16
   
• Best Teaching Assistant Award, Department of Mathematics, CUHK, 2016
   
• Bankee Kwan Award for Mathematics Project, Chung Chi College, CUHK, 2014
   

• Chung Chi Traveling Award in Mathematics, Chung Chi College, CUHK, 2014