Bin Yu
Title
Professor of Statistics
Department
Dept of Statistics
Faculty URL
Research Group
Email
Phone
(510) 642-2021
Research Expertise and Interest
neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization.
Research Description
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
August 25, 2020
UC Berkeley to lead $10M NSF/Simons Foundation program to investigate theoretical underpinnings of deep learning
The National Science Foundation (NSF) and Simons Foundation today (Aug. 25) awarded $10 million to a UC Berkeley-led program to gain a theoretical understanding of deep learning, which is making significant impacts across industry, commerce, science, and society.
April 2, 2020
Getting the right equipment to the right people
Hospitals are suffering from an acute shortage of emergency medical supplies, including masks, gowns, gloves and ventilators. However, the medical industry is struggling to determine the places that need them the most. Bin Yu, a professor of statistics and of electrical engineering and computer sciences, is working with nonprofit organization Response4Life to connect suppliers with hospitals in need.
November 17, 2015
Seeking Data Wisdom
Bin Yu’s statistical strategies work hand in hand with intense computation to penetrate storms of data.