Fang-Yu Lin

Fang-Yu Lin is currently a Machine Learning Engineer at Apple, where they develop machine learning solutions for camera capture and processing. Previously, Fang-Yu served as a course assistant at Stanford University for two notable courses: CS148, Introduction to Computer Graphics and Imaging, and CS231n, Convolutional Neural Networks for Visual Recognition. Before that, they worked as an undergraduate student researcher at National Taiwan University, focusing on correlation-based Doppler-angle estimation and copy number variation research. Fang-Yu also held leadership roles in the NTUEE Student Association, where they co-organized major events like MakeNTU, Taiwan's largest hardware hackathon. They earned a Master’s degree in Electrical Engineering from Stanford University and a Bachelor's degree in the same field from National Taiwan University.