I'm currently a forth year PhD student of Scientific Computing and Image Institute (SCI) at University of Utah. I work with Dr. Tom Fletcher as a research assistant and study Functional Magnetic resonance imaging. More specifically, I look for consistent functional network over multiple subjects by using computation methods in statistics and machine learning. My research statement can be found here, and my thesis proposal is here.

Before joining SCI, I had both B.S and M.S. degree in Jilin University, China, and worked for Lucent Technologies (at Nanjing, China) as a software engineer until June 2008. A quick summary of my Lucent work can be found here.

CV

Lectures and seminars I took (or taking)

• CS/EE 6810 Computer Architecture, Fall, 2008, by Rajeev Balasubramonian
  
• Machine Learning CS 5350/CS 6350, Fall 2008, by Hal Daume
  
• CS6320, Computer Vision, Fall 2008, by Guido Gerig
  
• CS/BIONENG 6640 - Image Processing - Spring 2009, by Ross Whitaker
  
• CS 5960/6960: Nonparametric Methods, Spring 2009, by Tom Fletcher
  
• CS 6210 - Advanced Scientific Computation I, Fall 2009, by Kris Sikorski
  
• ECE 6540 - Estimation Theory, Fall 2009, by Tolga Tasdizen
• CS7960 - Advanced Image Processing, Spring 2010, by Guido Gerig. (projects)
• Riemannian Geometry, Spring 2010, By Tom Fletcher
• Graduate Algorithms, Fall 2010, By Suresh Venkatasubramanian

Research Work

Now (as of December 2011) I'm working on brain's functional connectivity. The method I'm using is Markov random field. This is good method (though a bit old) to take into account spatial context information. Also it is a good candidate method for combing infomration from multi-modality images, like Diffusion Tensor Imaging. I will upload my publications some time in the near future, when I have enough to upload, hopefully.

Personal Life