Xiang Zhu is a research aide working in the MCS division. He is a first-year Ph.D. student of Statistics Department at the University of Chicago. Before that, he obtained his Bachelor’s degree in Mathematics in 2012 from Nankai University, China.
His general research interests are:
- how to modify existing recipes and then develop new methods for statistical inference and data analysis when solving practical problems;
- how to introduce theoretical advancements in mathematics and statistics to real applications in other fields.
More information about him can be found in his personal page:
Accomplishments on this summer
- Designed spatial-coverage sampling scheme for field works
- Proposed a new clustering procedure for high-dimensional time series
- Analyzed hyperspectral and sensory datasets established by FOREST