Summary
Nan Fang is a Software Engineer II with 8 years' experience specializing in EDA backend R&D—particularly place & route and static timing analysis—working on Innovus™-related teams at leading EDA firms. She has deep C++ expertise applied to post-route optimization and global routing, and has bridged industry tools across Synopsys, Cadence, and 铿腾设计系统公司. With a master's in Computer Science from Hangzhou Dianzi University, she blends algorithmic rigor with practical tool development and a growing interest in applying deep learning to physical design problems. Based in Pudong, Shanghai, Nan is notable for transitioning between major EDA codebases and shipping production optimizers that tackle real-world timing and routing challenges.
9 years of coding experience
2 years of employment as a software developer
硕士, Computer Science, 11/191, 硕士, Computer Science, 11/191 at 杭州电子科技大学
English, Chinese