Summary
Xiaosong Zhang is an Application Programmer Analyst Lead with 11 years of experience applying statistical rigor and software engineering to health outcomes and geospatial research at the University of Michigan. He blends a multidisciplinary academic background in statistics, electrical engineering and environmental science with hands-on expertise in designing databases, deploying version control and managing statistical compute clusters behind institutional firewalls. Xiaosong has led projects that integrate EMR, federal datasets (Medicare, VA, USDA, EPA, ACS) and machine learning to predict CKD/AKI and map disease hotspots, contributing to national reports like the USRDS Annual Data Report. He is comfortable bridging IT and research teams to diagnose complex system issues and tune performance for scalable analyses. Colleagues rely on him for reproducible pipelines, novel algorithm development for patient outcome prediction, and translating granular measurement-level data into actionable public health insights.
11 years of coding experience
4 years of employment as a software developer
Data Analyst NanoDegree, Data Science, Data Analyst NanoDegree, Data Science at Udacity
Master of Science (M.S.), Statistics, 3.9, Master of Science (M.S.), Statistics, 3.9 at University of Toledo
Environmental Science, Environmental Science at The University of Toledo
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Nanjing University of Science and Technology
English, Chinese