Andrew C. possesses a strong background in computer science with a Bachelor of Science and a Master of Science from the Georgia Institute of Technology, achieving impressive GPAs of 3.96 and 3.9, respectively. Experience includes roles as a Research Assistant at Georgia Institute of Technology, focusing on machine learning and data integration, and at GliaCloud Co., Ltd. as an AI Intern, where involvement encompassed multilingual keyword extraction and optimization of machine learning models. Additional internships included a position at Google working on machine learning for YouTube Ads and a Summer Research Intern role at National Taiwan University, contributing to projects related to facial recognition and tumor classification using CNN techniques. Notable publication includes “Learning Hyper Label Model for Programmatic Weak Supervision” for ICLR 2023.
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