Hui Jiang, PhD
- Associate Professor, Biostatistics
Dr. Jiang has broad training in statistics, computational mathematics, and computer science, with expertise in statistical genomics, bioinformatics, and statistical computing. He is interested in developing statistical and computational methods for the analysis of large-scale genomics data with specialties in RNA-Seq data analysis and cancer genomics. Many of his methods were incorporated into software tools used by biologists and bioinformaticians in their data analysis.
- PhD, Computational and Mathematical Engineering, Stanford University, 2009
- MS, Computer Science, Peking University, 2004
- BS, Computer Science, Peking University, 2001
Computational statistics, statistical genomics, bioinformatics
Statistical modeling of RNA-Seq data.
Statistical methods for asymmetric data integration.
Statistical methods for cancer biomarker identification.
Efficient algorithms for resampling-based hypothesis testing.
Penalized modeling and optimization algorithms for model fitting.
View full list of publications at https://scholar.google.com/citations?user=LszKw2cAAAAJandhl=enandoi=ao
M4523 SPH II
1415 Washington Heights
Ann Arbor, MI 48109
For media inquiries: email@example.com
Areas of Expertise: Biostatistics, Cancer, Genetics, Precision Health