Hello! Welcome to Jingyu Pan’s homepage. I am a senior machine learning engineer at NVIDIA, working on using machine learning to advance VLSI design automation. I completed my Ph.D. in Electrical and Computer Engineering at Duke University, advised by Prof. Yiran Chen in the Computational Evolutionary Intelligence Lab. I earned my B.Eng. in Information Engineering at Zhejiang University in 2020.

My research focuses on machine learning applications for electronic design automation (EDA), spanning AutoML, privacy-preserving ML, ML security, and LLM applications for VLSI design optimization. I have published 6 first-author papers in top EDA conferences (DAC, ICCAD, ASP-DAC) and 2 first-author papers in top journals (TCAD, TODAES). My work has contributed to a Best Paper Award and a Best Paper Nomination at ASP-DAC 2023.

I served as a track programme committee member in Asia and South Pacific Design Automation Conference (ASP-DAC) 2026 and reviewer for ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM Transactions on Embedded Computing Systems (TECS), IEEE Transactions on Very Large Scale Integration Systems (TVLSI), Microelectronics Journal, Microelectronics Engineering, Machine Learning with Applications, and Engineering.

News

• 12/2025: I joined NVIDIA as a Senior Machine Learning Engineer.
• 07/2025: I successfully defended my Ph.D. dissertation.
• 06/2025: Our new paper, “CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs”, was accepted by ICCAD 2025.