Jeng-Shin Lee

Jeng-Shin Lee is a highly accomplished and skilled professional in the field of computer science. Holding a PhD in Computer Science from the University of Michigan, Lee has over ten years of experience in industry and academia, with a strong background in machine learning, data mining, and natural language processing. Throughout his career, Lee has worked on numerous research projects, published several papers in leading academic journals, and delivered presentations at international conferences. He has also served as a reviewer for various journals and conferences in his field.

Lee's career highlights include his work at Google as a software engineer, where he focused on developing algorithms for improving Google's search engine results. He also worked as a researcher at Yahoo Labs, where he led several projects on machine learning and social network analysis. In academia, Lee has held research positions and served as an adjunct professor at the University of Michigan and the University at Buffalo.

In addition to his work in computer science, Lee is an active member of his community and has volunteered his time and expertise to various organizations. He is passionate about mentoring young students and encouraging them to pursue careers in science and technology.