Summary
Yuying Xie is an Associate Professor at Michigan State University with nine years of professional experience bridging genetics and statistics through data mining, machine learning, and bioinformatics. She holds PhD-level training in both Statistics and Genetics from the University of North Carolina at Chapel Hill and a bachelor's in Life Science from Fudan University. Her research and teaching apply quantitative methods to complex biological data, translating statistical theory into practical genomic insights. At MSU she progressed from Assistant to Associate Professor, reflecting a sustained record of scholarship and mentorship. Based in East Lansing, she is affiliated with the CMSE community and is known for integrating cross-disciplinary tools rather than focusing on a single technique. Colleagues value her ability to turn high-dimensional data into interpretable results for both research and applied problems.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Life Science, Bachelor's degree, Life Science at Fudan University
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of North Carolina at Chapel Hill