Bingjing Tang

Bingjing Tang is a Research Fellow in the Department of Statistics at Stanford University, advised by Professor Julia Palacios. Their research focuses on Bayesian methods, generative models, and neuroimaging analysis, with applications in computational statistics and machine learning. Contact: bingjing@stanford.edu.

Research interests include nonparametric Bayesian inference, Gaussian processes, spatial statistics, and functional network estimation from neuroimaging data. Recent work emphasizes marginal constraints in generative models and group-representative analysis of multi-subject fMRI datasets using Markov Random Fields.

No scientific awards or grants are explicitly listed. Advising records are not provided in available texts.