Summary
Yifan Yang is a Machine Learning Engineer with a PhD in Bioengineering and Biomedical Engineering and a decade of experience applying ML to real-world problems across neuroscience and computer vision. He has transitioned academic research at Penn State—where he developed ML methods for neuroscience—into industry work at Keysight Technologies, bringing rigorous experimental design and model validation to production settings. His background spans deep learning for vision from internships in China to advanced biosignal and biomedical modeling in the U.S., reflecting a rare blend of mechatronics, EE/MS training, and PhD-level AI research. Known for thoughtful, reproducible research practices, he focuses on delivering robust models that bridge lab insights and deployable systems. Based in Los Angeles, he pairs technical depth with a concise personal ethos—“life's golden”—that signals a pragmatic, human-centered approach to engineering.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD Bioengineering and Biomedical Engineering at Penn State University
Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering, Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering at Tianjin University
Chinese, English