Joseph Lee is a highly experienced Senior R&D / Software Engineer at PathAI since 2019, where responsibilities include architecting and developing distributed cloud and on-prem workflow orchestration infrastructure and a machine learning platform, as well as leading initiatives in code quality and software engineering. In 2023, Joseph took on the role of Director for Code in Place at Stanford University School of Engineering and has held various teaching positions, including Head Teaching Assistant for the CS 106A course. Previous experience includes serving as Lead Instructor at Elite Prep, where a pilot course on quantum computing was designed, and software engineering roles at Wind River, where a supervised learning model for software license detection was developed, as well as research positions at Berkeley Lab and Rice University. Joseph holds two Bachelor of Science degrees in Electrical Engineering & Computer Sciences and Materials Science and Engineering from the University of California, Berkeley.
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