Justin Wan head shot

Justin Wan

Professor, School of Computer Science

Justin Wan

In 1995, Professor Justin Wan was a Givens Fellows with the Mathematics and Computer Science Group, Argonne National Laboratory, where he developed parallel incomplete LU factorization preconditioning code for BlockSolve95, a parallel software system for solving large linear systems on high performance computers.

After graduating in 1998, Professor Wan was a Forsythe Fellow with the Computer Science Department, Stanford University. He was involved in the ASCI project, funded by DOE as one of 5 ASCI centers in US, for the simulation of turbine engines. After joining the University of Waterloo, Professor Wan has been invited to speak at the International Conference on Preconditioning Techniques for Large Sparse Matrix Problems in Industrial Applications, Minneapolis, 1999, and in the International Conference on Domain Decomposition Methods, Mexico, 2002.

Contact Information
Groups
Scientific Computing, Data Science, Finance & Insurance, Health, Machine Learning, Surveys, Animation, Differential Equations
Links
Link to profile: Justin Wan
Link to personal webpage: Personal website
Additional Information

In 1995, Professor Justin Wan was a Givens Fellows with the Mathematics and Computer Science Group, Argonne National Laboratory.

Degrees

  • Ph.D., University of California, Los Angeles (1998)
  • M.A., University of California, Los Angeles (1995)
  • B.Sc., Chinese University of Hong Kong, China (1992)