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Statistical Analysis of High-Dimensional Multi-way Imaging and Genetic Data

Zhaoxia Yu, Associate Professor, Department of Statistics, University of California, Irvine

Tuesday, February 21, 2017
  3:45–5:45 p.m.

Location: Olmsted Hall 420
  Parking Information

Category: Colloquium


Zhaoxia Yu, Ph.D.
Associate Professor,
Vice Chair of Undergraduate Affairs, Statistics
University of California, Irvine
Irvine, CA


Statistical Analysis of High-Dimensional Multi-way Imaging
and Genetic Data


Advances in neuroimaging and biotechnology make it possible to investigate genetic perspectives of brain activities and human behaviors in a systematic way. Indeed, dozens of studies have been recently conducted to assess the genetic components of structural imaging data. On the other hand, data in such studies are inherently high-dimensional and multi-way; as a result, the key challenge here is to model associations between multiple sets of massive, complexly structured, and high-dimensional data. In this talk, I will present our statistical analysis that aims to examine the connection between human behaviors, genetics, and functional brain activities captured by functional Magnetic Resonance Imaging (fMRI).

Dr. Yu is Associate Professor, and Vice Chair of Undergraduate Affairs, Statistics. She earned her Ph.D. in Statistics, Rice University, 2005; an M.S. in Statistics, University of California at Davis, 2002, and a B.S. in Statistics, University of Science and Technology of China, 2000. Her research interests include Statistics and Statistical Theory.

Open to: General Public
Admission: Free
Sponsor: Statistics Department

Contact Information:
Paula Lemire
(951) 827-6009