Office location and address
M.S., Stanford University, 2010-2012
B.S., Zhejiang University, 2006-2010
My research mainly focuses on using statistical machine learning methods to extract salient pattern of data and making valid statistical inference on top of it. One major type of data I work on are networks/graphs. Such data structures are widely used in describing complex systems or social interactions. Statistical methods are able to quantify the randomness and uncertainty for such data sets and extracting key structural information of the system while ignoring the noises. I also work on statistical modeling and predictive methods on high dimensional data sets and their applications in biological and social problems. As a related area, I also have strong interests in efficient optimization methods and computing strategies on complex data sets.
- 2018 Honorable Mention for ProQuest Distinguished Dissertation Awards, University of Michigan.
- 2017 Best student paper, ASA section for Nonparametric Statistics.
- 2015 Student paper award by Monsanto, ASA section for Statistical Programmers and Analysts.
- 2014-2015 Rackham International Student Fellowship, University of Michigan.