About Me

I graduated from Department of Statistics at UC Berkeley in May 2010 under supervision of Professor Peter Bickel. I worked at Google as a statistician for one year before I joined the Statistics Department at Carnegie Mellon University.

Here are links to my cv and an image showing my name in Chinese characters.

Research Interest

Statistics and machine learning theory and methodology

  • Flexible inference tools under weak assumptions, including regression, classification, and cross-validation.
  • High dimensional matrices with structured eigen-components, including sparse PCA, functional PCA, and network block models.
  • Statistical learning with differential privacy, adaptive data analysis.

Applications

  • Genetics, autism, sequencing data
  • Traffic speed prediction
  • Chromatin segmentation

Currently Teaching

Spring 2017: 36-752, Advanced Probability Overview.