Summary
Chae Lee is a third-year Ph.D. student in Computer Science at Stanford with nine years of engineering and teaching experience spanning embedded systems, machine learning, and systems programming. Currently a course developer for Intro to Embedded Systems (EE 186), Chae combines academic rigor with practical ML experience from internships at Apple, NAVER, and UpstageAI focused on text-to-speech, OCR, and dataset production. Previously a TA at Yale across data structures, deep learning, and electronics, they bring proven ability to translate complex concepts into hands-on coursework and tooling. Based in Palo Alto, Chae works at the intersection of mobile/embedded platforms and machine learning, pairing low-level systems insight with applied ML modeling for product-scale features. Notably, their background reflects repeated industry collaborations on speech and vision pipelines, giving them a rare blend of classroom pedagogy and production ML engineering.
9 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Hankuk Academy of Foreign Studies
Bachelor of Science - BS Electrical Engineering and Computer Science, Bachelor of Science - BS Electrical Engineering and Computer Science at Yale University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University