Dr. Yu-Chien Bo Ning is an assistant professor in the Department of Statistics at Texas A&M University. His research focuses on developing trustworthy Bayesian machine learning methods for data science, supported by three pillars of research:

High-dimensional Nonparametric Deconvolution/measurement error Survival models GP/deep GP (theory) Multiscale analysis Uncertainty quantification
Sampling methods Variational inference Bayesian optimization GP-based algorithms
Astronomy Epidemiology Economics Electronic health records Genomics

Previously, he held positions at Harvard HSPH (Research Associate), UC Davis (Visiting AP), Sorbonne Université in Paris (FSMP Postdoctoral Fellowship), and Yale (Postdoc). He obtained a Ph.D. in Statistics at North Carolina State University.