I am currently a Software Engineer at Google Deepmind, working to solve some of the hardest scientific and engineering challenges of our time. Before joining Google Deepmind, I worked as a Software Engineer at X, the moonshot factory. I completed my B.S. degree in Electrical Engineering at National Taiwan University in 2019 and my Ph.D. in Electrical and Computer Engineering at The University of Texas at Austin in 2023. During my Ph.D., I worked with Prof. David Z. Pan in the UTDA Lab. I also worked with Prof. Yao-Wen Chang in EDA Lab, and Prof. Jie-Hong R. Jiang in ALCOM Lab. My Ph.D. research interests include physical design, CAD for analog/mixed signal designs, logic synthesis, and formal methods.

I received the 3rd-place award in the CAD contest at ICCAD 2018, and the 3rd-place award in the Initial Detailed Routing contest of ISPD 2018. I have interned at Synopsys, NVIDIA Research, and X. I am grateful that my work is supported by the NVIDIA Graduate Fellowship.

News

• 11/2022: One paper, Reinforcement Learning Guided Detailed Routing for Custom Circuits, is accepted by ISPD 2023. Cheers!

• 07/2022: One co-authored paper, TAG: Learning Circuit Spatial Embedding From Layouts, is accepted by ICCAD 2022.

• 03/2022: I presented a paper, AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies, at ISPD 2022.

• 12/2021: I recieved the NVIDIA Graduate Fellowship. Cheers!!

• 11/2021: Our paper, Routability-Aware Placement for Advanced FinFET Mixed-Signal Circuits using Satisfiability Modulo Theories, is accepted by DATE 2022. Cheers!

• 09/2021: One co-authored paper, Generative-Adversarial-Network-Guided Well-Aware Placement for Analog Circuits, is accepted by ASP-DAC 2022. Cheers!

• 07/2021: One co-authored paper, OpenSAR: An Open Source Automated End-to-end SAR ADC Compiler, is accepted by ICCAD 2021. Cheers!

• 02/2021: Our paper, Universal Symmetry Constraint Extraction for Analog and Mixed-Signal Circuits with Graph Neural Networks, is accepted by DAC 2021. Cheers!