Summary
Chee Gan is a senior scientist and computational physicist with over three decades of experience applying high-performance computing to materials science and device simulations. Trained at NUS and holding a PhD from the University of Cambridge, he has a rare blend of physics depth and practical software engineering—having parallelized quantum chemistry codes at Los Alamos and built LAPACK/ScaLAPACK-based tight-binding and phonon codes at IHPC/A*STAR. His day-to-day expertise spans MPI-based parallel programming, Fortran/C/C++ development, and in-depth Linux/HPC tooling, with open-source samples such as the atomic-displacement phonon code illustrating his reproducible research approach. Equally comfortable in algorithm design and performance tuning, he also contributed to stochastic micromagnetics simulations for finite-temperature device modeling, highlighting a knack for translating complex theory into scalable, production-ready code.
8 years of coding experience
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Physics Department, University of Cambridge