Biological Sciences
Computing, Data Integration, Machine Learning, Mathematical and Statistical Modeling, Optimization, Statistics

Hui Jiang



Associate Professor of Biostatistics, School of Public Health

My research focuses on statistical genomics and computational statistics. I am interested in developing statistical and computational methods for the analysis of large-scale biological datasets generated by modern high-throughput technologies such as next-generation sequencing. I implemented many of the methods that I developed as software tools and packages to be used by the research community. I am also interested in developing efficient algorithms and methods that deal with computational problems arising from statistics genomics. I have worked on and am working on problems including efficient algorithms for resampling-based hypothesis testing, penalized modeling and optimization algorithms for model fitting, as well as computational methods for density estimation and machine learning.