University of Southern California


Our statistics faculty are interested in both pushing the boundaries of theoretical knowledge in the field as well as applied areas. There are many interesting research projects at the intersection of statistics, computer science, econometrics, finance, and marketing. Selected topics include:

  • Statistical machine learning
  • High¬≠dimensional data analysis
  • Computational and statistical limits of "Big data" problems
  • Structural learning (such as clustering, sparse recovery and network analysis)
  • Multiple hypotheses testing, uncertainty assessment and inference problems
  • Finance and econometrics
  • Applications in genetics, neuroscience and health care

Cutting­edge research in these areas leverages and builds upon many mathematical tools including:

  • Functional data analysis
  • Graphical models and iterative algorithms
  • Optimization

Faculty Coordinator

Greys Sosic, Associate Professor of DSO

Learn More

Learn more about statistics program requirements, research, and students.