Summary
Yuxuan Chen is a Data & Applied Scientist II on Microsoft's Azure Brain AIOps team with eight years of experience applying machine learning and analytics to large-scale cloud operations. With an MS in Computer Science and a BS in Applied Math & Statistics and Computer Science from Johns Hopkins, Yuxuan blends rigorous quantitative foundations with production ML engineering. Past roles include data science and visualization work at the United Nations and applied analytics internships at Seagate, plus clinical data research at Johns Hopkins Medicine, reflecting a knack for translating domain complexity into actionable models. At Azure, Yuxuan focuses on improving AI-driven operational insights for cloud services, pairing research-minded experimentation with pragmatic deployment. Colleagues describe them as comfortable bridging research, product, and platform teams—equally at home prototyping novel models and instrumenting them for reliable production use. Based in Baltimore, they bring a global perspective and interdisciplinary curiosity that often surfaces in cross-functional solutions.
8 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
High School Diploma, High School Diploma at Nanjing Foreign Language School
English, Chinese