Ming Li is a seasoned professional with extensive expertise in algorithm development and machine learning, currently serving as a Senior Algorithm Engineer at KLA since October 2022. With a focus on innovative model training frameworks and deep learning solutions for computer vision tasks, Ming Li has contributed significantly to the field, particularly in self-supervised and unsupervised learning methods. Prior experience includes managing algorithm teams at ZEISS Industrial Metrology, where Ming Li led global collaborations on diverse projects involving computer vision and machine learning applications. Academic credentials include a Ph.D. in Electrical and Computer Engineering from Auburn University and a Bachelor of Engineering from Shanghai Jiao Tong University.
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