Jacob Bien, PhD
Investigator

Jacob Bien is an assistant professor in the Department of Data Sciences and Operations in the Marshall School of Business at the University of Southern California (USC). He received a BS in physics and a PhD in statistics from Stanford University. Before joining USC, he was an assistant professor at Cornell University in the Department of Biological Statistics and Computational Biology and in the Department of Statistical Science.

Dr Bien’s research focuses on statistical machine learning and in particular the development of novel methods that balance flexibility and interpretability for analyzing complex data. He combines ideas from convex optimization and statistics to develop methods that are of direct use to scientists and others with large datasets. Particular areas of focus include variable selection, clustering, prototype selection and the modeling of dependence in high-dimensional data. His work has been supported by the National Science Foundation, both through a CAREER award and through a grant on high-dimensional covariance estimation. He serves as an associate editor of Biometrika and Biostatistics.

Project: Statistical Network Inference and Time Series Analysis of Marine Ecosystems

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