Summary
Guangxuan Zhang is a Principal Data Scientist Manager at Microsoft with 11+ years of experience applying machine learning, data mining, and software engineering to large-scale cloud systems. He holds a PhD in Information Science and Technology from Penn State, where he developed text-mining and visualization tools to detect argumentation and debates in online communication—work that led to novel timeline and dialogue-tree visualizations. At Microsoft he has built and led teams around full-stack data science platforms for Azure, including CxPlat for customer retention and CoBe for distributed tracing, automated root-cause analysis, and incident mitigation. His background spans both research and product delivery, with hands-on expertise in Java, Python, NLP, SVMs, and statistical modeling, plus experience driving agile and DevOps practices. Based in Redmond, he blends rigorous academic methods with production-grade engineering to turn complex communication and telemetry data into actionable insights.
11 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.), Applied Economics, Master of Science (M.S.), Applied Economics at University of Vermont
Doctor of Philosophy (Ph.D.), Information Science and Technology, Doctor of Philosophy (Ph.D.), Information Science and Technology at Penn State University
Bachelor of Engineering (BEng), Computer Science, Bachelor of Engineering (BEng), Computer Science at Shandong University
English, Chinese