I am College Fellow in Statistics at Harvard University. In Fall 2018, I am teaching STAT120: Applied Bayesian Inference and STAT99r: Senior Thesis Tutorial. I received my Ph.D. in statistics from Harvard in 2018 (advised by Jun S. Liu), and my B.S. in Probability and Statistics from Peking University, China in 2013.
My research focuses on the study and design of statistical methods for integrative data analysis, in particular, to address the challenges of increasing complexity and connectivity arising from “Big Data”. I’m interested in innovating statistical methods that efficiently integrate multi-source, multi-resolution information to solve real-life problems. Instances include tracking localized influenza with Google search data and predicting cancer-targeting drugs with high-throughput genetic profiling data.
Click here for my CV.