Summary
Jing Mai is a fourth-year PhD candidate at Peking University specializing in AI-driven chip design and GPU-accelerated EDA, with 11 years of hands-on experience across research and industry. As a core author of the high-performance open-source FPGA placement and routing framework OpenPARF and leader of a team that placed second in MLCAD 2023, he combines top-tier academic publications (15 papers and a book chapter) with practical, open engineering. His work spans optimization theory, machine learning for EDA, and algorithm–hardware co-design, informed by internships at ByteDance and NVIDIA where he explored LLM applications and GPU acceleration. Fluent in translating theory to scalable tools, he maintains a public research portfolio and website that showcase both reproducible code and competitive CAD results.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Peking University
The Chinese University of Hong Kong (CUHK)