Yu's research interests are varied and included empirical processes, Markov Chain Monte Carlo methods, information theory and signal processing. She is currently working on statistical machine learning theory and algorithms to extract useful information from large data sets from remote sensing, data networks (internet and social networks), neuroscience and document summarization for social scientists and media analysis.
In the News
UC Berkeley to lead $10M NSF/Simons Foundation program to investigate theoretical underpinnings of deep learning
Bin Yu’s statistical strategies work hand in hand with intense computation to penetrate storms of data.