Summary
Yang Xu is a principal data scientist with eight years of experience turning complex, multi-source datasets into actionable insights using predictive modeling, NLP, and Bayesian methods. Currently at Arizona State University after leading data-driven research at Notre Dame’s Lucy Family Institute, he has contributed to high-impact projects like ND-GAIN and V-Dem that bridge academic research and policy. He builds robust ETL pipelines and scalable models in Python and R, improving data consistency and enabling reproducible analyses for stakeholders. His background spans large-scale genomic and epidemiological work—extracting principal components from millions of DNA observations and simulating disease dynamics—demonstrating both computational rigor and domain versatility. Earlier experience in industrial operations refined his ability to translate data findings into measurable cost and process improvements. Based in Notre Dame, Indiana, he combines strong academic training (MSc in Applied Computational Mathematics and Statistics, 3.90 GPA) with practical production deployments that accelerate research impact.
8 years of coding experience
14 years of employment as a software developer
Master's degree, Applied Computational Mathematics and Statistics, 3.90, Master's degree, Applied Computational Mathematics and Statistics, 3.90 at University of Notre Dame
Bachelor's degree, Engineering in Thermal and Dynamics, 3.646, Bachelor's degree, Engineering in Thermal and Dynamics, 3.646 at Shanghai University of Electric Power
English, Chinese