I am an Assistant Professor at the Department of Mathematics and Statistics of the University of New Brunswick. I enjoy simplicity. I was born in a village of Nanjing, China. From 2007 to 2011, I studied Mathematics at Xi'an Jiaotong University, China. In 2012, I started pursuing a Master and then PhD degree in Statistics at York University, Canada. While studying at York University, I was mentored by Professor Hélène Massam. Unfortunately, she Passed away in 2020 . Hélène was was a great Statistician and passionate about research. Working with her is the best experience in my life.
I obtained my PhD in Statistics in 2017, and then worked as a postdoctoral fellowship from 2017 to 2019 with Dr. Laurent Briollais at Lunenfeld-Tanenbaum Research Institute. In 2020, I did my second postdoc with Dr. Piotr Zwiernik in Barcelona. After that, I was hired by University of New Brunswick in 2021.
Further details can be found in my curriculum vitæ.
I am looking for undergraduate and graduate students interested in mathematical statistics and its aspects related to optimization, Bayesian analysis, and machine learning.
I am interested in developing statistical learning methods to analyze high-dimensional data arising from machine learning problems or genetic research.
Graphical models; Composite likelihood; Bayesian model selection, and linear mixed models in genome-wide association study (GWAS).
Check my google scholar page for publications.
All my codes are shared in my github page.
STAT4443: Time Series Analysis and Applications ( Syllabus)
STAT4083: Multivariate Methods for Statistical Learning ( Syllabus)
STAT4083: Categorical Data Analysis ( Syllabus)
STAT4083: Introduction to Data Science with R ( Syllabus)
STAT4083: Multivariate Methods for Statistical Learning ( Syllabus)
