Rafael Perez Martinez

Welcome to my personal website! I am originally from Oaxaca, Mexico. I recently completed my Ph.D. in Electrical Engineering at Stanford University, where I focused on semiconductor modeling and optimization. I was advised by Prof. Srabanti Chowdhury and worked closely with Prof. Stephen Boyd. During my time at Stanford, I was also a Stanford Graduate Fellow in Science & Engineering.

My interests lie at the intersection of semiconductors and machine learning, particularly in using machine learning to make semiconductor modeling more effective and efficient. Leveraging a strong foundation in semiconductor device physics, circuit design, programming, machine learning, and optimization, I have applied these skills to conduct impactful research, resulting in over 20 publications in leading conferences and journals.

Biography

Rafael Perez Martinez is originally from Oaxaca, Mexico. He earned his M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2023 and 2024, respectively. During his time at Stanford, he was also a Stanford Graduate Fellow in Science & Engineering. He previously earned his B.S. degree in Electrical Engineering (summa cum laude) and M.S. degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2016 and 2019, respectively.

Rafael is currently an R&D Hardware Engineer at Broadcom, Inc. He was an R&D Software Engineer and R&D Intern at Keysight Technologies, Inc., where he primarily worked on AI/ML research and solutions for EDA applications and GaN semiconductor modeling.

His research interests include semiconductor modeling, integrated circuit design, optimization, and machine learning. He has authored or co-authored over 20 journal and conference publications on these topics.

Contact

Email: rafapm@alumni.stanford.edu

Personal Website: https://rafapm.com

LinkedIn: https://www.linkedin.com/in/rafapm/

Google Scholar: https://scholar.google.com/citations?user=lBTHgVsAAAAJ&hl=en

GitHub: https://github.com/rafapm