Hui Jiang

Professor, Biostatistics

Portarit of Hui Jiang


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.

Research Areas

AI; ML and Statistical Inference
Algorithms and Codes
Biology Applications and Engineering
Clinical Applications
Computational and Informational Processing
Data Processing; Integration; Mining and Visualization
Health Science
Modeling: Multi-scale; Predictive and Metamodeling
Numerical Analysis; Statistics and Stochastic Methods and Theories