Job title:
Chancellor’s Distinguished Professor for Statistics, Electrical Engineering and Computer Science, Class of 1936 Second Chair
Bio/CV:
Research Fields: Biostatistics/Statistics, Machine Learning and Algorithms
Research interests:
Bin Yu’s research groups finds new computational developments to solve important scientific problems by combining novel statistical machine learning approaches with the domain expertise of my many collaborators in neuroscience, genomics and precision medicine. They also investigate statistical machine learning methods/algorithms (and associated statistical inference problems) such as dictionary learning, non-negative matrix factorization (NMF), EM and deep learning (CNNs and LSTMs), and heterogeneous effect estimation in randomized experiments (X-learner).
Role:
