Summary
Cherry Sun is a co-founder and machine learning researcher with eight years of experience at the intersection of AI and microelectronics, building deep learning–driven automation for chip and PCB design. She has moved from hands-on RFIC and analog design roles at Huawei and Shanghai Huahong into research positions at MERL and Quilter, applying reinforcement learning, computer vision, and graph neural networks to routing, placement, and RF power amplifier automation. Her work includes a published, award-winning AICAS2022 paper on GaN RF PA automation and a production-ready deep RL router that approximates node visiting costs to boost routing performance. Currently leading chip design automation at Transconductor while pursuing a PhD in computer science, she blends system-level hardware expertise with advanced ML methodology. Known for tackling multi-agent and optimization challenges, she often frames circuit design problems as sequential decision-making tasks, enabling transferable policies across designs.
8 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng Microelectronics, Master of Engineering - MEng Microelectronics at Fudan University
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Harbin University of Science and Technology
Master Ph.D candidate Computer Science, Master Ph.D candidate Computer Science at University of South Carolina
Chinese, English