Edmond Chow

Edmond Chow is a Professor and Associate Chair in the School of Computational Science and Engineering at Georgia Institute of Technology. His research focuses on numerical methods, high-performance computing, and scientific computing applications in quantum chemistry, molecular dynamics, and machine learning. He holds awards including the 2009 ACM Gordon Bell Prize and 2002 PECASE. He leads the Intel Parallel Computing Center, advancing computational chemistry algorithms for Intel architectures.

Education:

• Ph.D., Computer Science (minor in Aerospace Engineering), University of Minnesota, 1997
• Honors B.A.Sc., Systems Design Engineering, University of Waterloo, 1993

Research Interests:

• Parallel algorithms for sparse linear systems and preconditioning
• High-performance quantum chemistry simulations
• Asynchronous iterative methods for extreme-scale computing
• Kernel-based methods and hierarchical matrices for Gaussian processes
• Applications in biological macromolecule dynamics and machine learning

Awards & Recognition:

• ACM Gordon Bell Prize (2009)
• PECASE (2002)
• SIAM Fellow (2021)
• SC23 Test of Time Award

Advising & Grants:

• Advised 11+ PhD/MSc students in numerical methods and HPC
• Funded by NSF, DOE, DARPA, and Intel
• Developed software tools like H2Pack (hierarchical matrices), GTFock (quantum chemistry), and Simint (electron integrals)

Labs & Teams: Leads the Intel Parallel Computing Center and collaborates with institutions like LLNL, Sandia, and Temple University on asynchronous computing and quantum chemistry projects.