Di Bai

Di Bai is an accomplished professional with expertise in imaging science and hardware engineering. Di Bai holds a Ph.D. and an M.S. from the Rochester Institute of Technology, with a strong academic background in Imaging Science and Media Sciences. Di Bai's research experience includes hyperspectral image analysis of cultural heritage artifacts, 3D image analysis of micron-sized powder particles, and the development of deep learning frameworks for image classification. Di Bai has presented at various conferences and contributed to significant publications. Professional experience includes roles as an Imaging Scientist Consultant for the Early Manuscript Electronic Library and the University of Oxford, as well as internships at Oak Ridge National Laboratory and Apple. Currently, Di Bai is a Hardware Engineer at Google, focusing on hardware design and machine learning applications.