Welcome to my personal website! I recently received my Ph.D. in Electrical Engineering from Stanford University, primarily focusing on semiconductor modeling and
optimization. I was advised by Prof. Srabanti Chowdhury and worked closely with Prof. Stephen Boyd. Before
Stanford, I graduated from Georgia Tech with a B.S. and M.S. in Electrical Engineering. My current interests include semiconductor modeling, machine learning, optimization, and electronic design.
Rafael Perez Martinez is originally from Oaxaca, Mexico. He received the B.S. degree (summa cum laude) in Electrical Engineering and the M.S. degree in Electrical and Computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2016 and 2019, respectively, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2023 and 2024, respectively.
Rafael was an R&D intern at Keysight Technologies, Inc. during the summers of 2022 and 2023, where he primarily worked on GaN semiconductor modeling. His current research interests semiconductor modeling, machine learning, optimization, and electronic design.
He has authored or co-authored more than 20 journal and conference publications. He is also the recipient of the Stanford Graduate Fellowship in Science & Engineering.
Email: rafapm@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