Dr. Bin Yu

Biography

Bin Yu is a Distinguished Professor in the Department of Statistics and the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley. Her research expertise encompasses statistical inference, high-dimensional data, and interdisciplinary research which includes areas such as neuroscience, remote sensing, and text summarization. Her current research focuses on the practice, algorithms, and theory of statistical machine learning and causal inference. She is involved in interdisciplinary collaborations with scientists in genomics, neuroscience, and precision medicine, emphasizing the augmentation of empirical evidence for decision-making. Her research interest features advanced methods and algorithms, including dictionary learning, non-negative matrix factorization, and deep learning techniques like convolutional and recurrent neural networks. Bin Yu has contributed substantially to a range of topics like empirical process theory, information theory, and signal processing, positioned prominently within the statistical community. Her accolades include recognition as a fellow of the American Academy of Arts and Sciences and a Guggenheim Fellow in 2006, underscoring her influential presence in the field.

Research Interests

Experience

Awards