Summary
Guangxu Xun is a machine learning researcher with 9 years of experience specializing in deep learning, NLP, text mining, topic modeling, and model compression. Currently at Apple working on Siri Text-to-Speech, he brings production-focused research experience from Baidu USA (simultaneous machine translation and model compression) and academic work on large-scale document labeling and semantic-evolution-driven hypothesis generation. He holds a PhD in Computer Science from the University of Virginia, and earlier research spanned embedding-space topic models, EEG seizure detection, and peptide sequence affinity analysis. Based in Sunnyvale, Guangxu combines rigorous academic training with hands-on system and model optimization for speech and translation applications, often bridging large-scale data-driven methods with deployable, latency-sensitive solutions.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
Master of Science - MS, Control Science and Engineering, Master of Science - MS, Control Science and Engineering at Tsinghua University
Bachelor of Engineering - BE, Instrument Science and Technology, Bachelor of Engineering - BE, Instrument Science and Technology at Zhejiang University