I was born in Shaoxing, a beautiful and fast-developing city in
China. I got my Bachelor's degree in Mathematics and Applied Mathematics from Department of Mathematics, Tianjin
University in 2007. I studied in Center of Mathematical Sciences, Zhejiang University and graduated as a Master in 2010. I am now a Ph.D candidate in the Department of Statistics and Probability, Michigan State
University, working with my advisors
Yuehua Cui and Ping-Shou Zhong. I am also working with my advisor C. Robin Buell on the Potato Project for my dual PhD program in Quantitative Biology.
See my Curriculum Vitae for more information.
In general, I am interested in statistics and its applicaitons in various fields. In particular, on methedology side, I am working on Empirical Likelihood (EL) approach in statistical testing, especially in Functional Data Analysis (FDA), High Dimensional Data Analysis and Missing Data Analysis. And on application side, I mainly focus on statistical genetics, including Next Generation Sequecing Data Analysis. In addition, I am also interested in Bayesian analysis, machine learning, graphical modeling and linear mixed models.
Research Projects at MSU
Unified tests for functional linear models and the transition phase from sparse to dense functional data
Submitted to Annals of Statistics
A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interaction [PDF]
Honglang Wang, Tao He, Cen Wu,
BMC Proceedings 2014, 8(Suppl 1):S61 (17 June 2014)