Summary
Wenyu Gao is an Assistant Professor of Statistics at UNC Charlotte with nine years of experience applying Bayesian nonparametric and functional modeling to interdisciplinary data problems. Trained at Virginia Tech and Columbia, she blends deep theoretical expertise—Dirichlet process mixtures, semiparametric methods, functional clustering—with practical applied work from a postdoc at Harvard T.H. Chan School of Public Health and collaborative projects at SAIG. She is proficient in R and statistical computing, routinely translating complex models into reports and presentations for domain scientists across ecology, public health, and finance. Her research emphasis on Bayesian functional approaches yields flexible tools for heterogeneous and longitudinal data, bridging modern machine learning with classical inference. Colleagues value her ability to lead independent projects while integrating into multidisciplinary teams, and she brings real-world experience from industry internships and applied research collaborations.
9 years of coding experience
5 years of employment as a software developer
Virginia Tech
Master of Arts (M.A.), Statistics, Master of Arts (M.A.), Statistics at Columbia University in the City of New York
The University of Hong Kong (HKU)
Exchange, Statistics, Exchange, Statistics at University of California, Santa Barbara
Foundation degree, Science, Foundation degree, Science at Zhejiang University
English, Chinese