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Eng Hock Lee

Machine Learning Engineer

Eng Hock Lee is a skilled researcher and machine learning engineer with extensive experience in applying advanced techniques in various scientific fields. As a Research Associate at Astrin Biosciences, Eng Hock Lee contributed to significant improvements in cancer cell detection through optimized deep learning models, achieving a remarkable reduction in false positive rates. Prior experience includes a Research Intern role at TSMC, where Eng Hock Lee secured a patent for optimization methods in EUV multilayer mirrors. Eng Hock Lee is also currently pursuing a PhD in Electrical Engineering at the University of Minnesota-Twin Cities, where prior academic achievements include a B.S. in Physics and contributions as a Machine Learning Scientist, facilitating interdisciplinary collaborations and advancing the educational integration of machine learning tools.

Location

Minneapolis, United States

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