Fan Wang is a highly skilled professional with extensive experience in computer vision and machine learning. At the Rochester Institute of Technology, Fan served as a Research Assistant, developing algorithms for high-resolution aerial image understanding and validating radiance accuracy in simulated imagery, while also fulfilling teaching duties for a graduate course on Fourier Methods for Imaging. Prior experience includes roles at EagleView Technologies, Inc., where Fan developed 3D scene classification algorithms and robust debris detection algorithms during internships. Following a position as an Image Quality Engineer at GoPro, where Fan focused on image quality algorithms for camera production tests, a current role as a Software Engineer at Google involves search, query understanding, and large language model development. Fan holds a Doctor of Philosophy (Ph.D.) in Imaging Science from the Rochester Institute of Technology.
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