Nanwei Wang

Nanwei Wang is an Assistant Professor in the Department of Mathematics and Statistics at the University of New Brunswick. He obtained his Ph.D. in Statistics from York University in 2017 following a Bachelor's degree in Mathematics from Xi'an Jiaotong University. His research develops statistical learning methods for high-dimensional data in genetics and machine learning.

His core research interests include:

• Graphical models for dependency modeling
• Composite likelihood estimation methods
• Bayesian model selection techniques
• Linear mixed models in genetic association studies

Wang's publication record demonstrates consistent focus on computational statistics, with recent emphasis on scalable algorithms for genomic data integration and Bayesian methods for high-dimensional inference. Methodological innovations in MCMC and penalized estimation feature prominently.

Awards:

• OICR-CANSSI Biostatistics Postdoctoral Fellowship Award

He leads research projects in statistical methodology development and welcomes graduate students interested in mathematical statistics, Bayesian analysis, and machine learning applications.