Summary
Paul Xu is a data scientist with nine years of multidisciplinary experience applying ML/DL, NLP, and large-scale data engineering to education and research settings. Currently leading data science at Brown’s Center for Computation and Visualization, he builds production-ready models across Python and R ecosystems and orchestrates parallel workloads on AWS, GCP, Azure and IBM Cloud with Spark. He excels at turning messy, unstructured research data into actionable insights and striking visualizations that inform both technical and non-technical stakeholders. With a PhD focused on educational data science and an MS in computer science, he bridges rigorous research methods and practical engineering. A lifelong learner who has completed 60+ MOOCs and is bilingual in English and Mandarin, he brings uncommon pedagogical experience—having built curriculum and deployed IoT-backed classroom systems—to inform human-centered ML solutions.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Brown University
Doctor of Philosophy (Ph.D.), Curriculum & Instruction (Focus: Educational Data Science), Doctor of Philosophy (Ph.D.), Curriculum & Instruction (Focus: Educational Data Science) at Boston College
Bachelor of Arts (B.A.), English with specialization in Ecommerce, Bachelor of Arts (B.A.), English with specialization in Ecommerce at Northeast Normal University
Master of Education (M.Ed.), English Language Learners, Master of Education (M.Ed.), English Language Learners at Vanderbilt University
Chinese, English, Japanese