Dr. Cy ChanComputational Science Post-Doctoral Research Fellow, Lawrence Berkeley National Laboratory
Cy Chan is a computational science post-doctoral research fellow at the Lawrence Berkeley National Laboratory working on developing new techniques for software optimization and novel programming models for HPC systems. His current research interests include the analysis and optimization of multi-resolution, multi-physics, fluid-simulation codes for hardware/software co-design and the development of new programming methodologies to automate this process for future exascale systems. His recent work has also introduced and studied auto-tuners for solving sparse linear systems including multigrid solvers. In addition to these pursuits, he is also interested in developing collaborations in other areas of renewable energy applications research. He holds an A.B. in Applied Mathematics from Harvard University and an S.M. and Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.