I am an Associate Professor in the Department of Statistics and Data Science, National University of Singapore. Before joining NUS in 2016, I was a postdocoral associate working with David B. Dunson in Department of Statistical Science at Duke University. I obtained my Ph.D. from Department of Statistics at Northwestern University in 2014. My Ph.D. advisor is Wenxin Jiang. Before that, I received my B.S. in Statistics from School of Mathematical Sciences, Peking University in 2009.
My current research focuses on scalable Bayesian inference for big data, Gaussian process, and Bayesian nonparametrics. In particular, I work on Bayesian methodology and computational strategies that can scale Bayesian posterior sampling algorithms to massive data with complex dependencies. Recently, I have been working on the theoretical foundation of scalable Gaussian process approximation for massive spatial data. I have been developing new Bayesian fixed-domain asymptotic theory for parameter estimation and posterior prediction in spatial Gaussian process models. My broader research interests include Bayesian statistics, machine learning, high-dimensional data analysis, and simulation-based methods.
Contact
Department of Statistics and Data Science
S16/06-104, Science Drive 2
National University of Singapore
Singapore 117546
Email: stalic@nus.edu.sg