Hui Jiang
Professor
Biostatistics
Public Health
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.
Projects:
Statistical and computational methods for asymmetric integration of datasets from different cancers
Research Area(s)
Bioinformatics | Computational Data Science | Genetics / Genomics / other OMICS | Mathematical modeling & statistical analysis | next-gen genomic sequencing
Publications
- Novel cancer stem cell targets during epithelial to mesenchymal transition in PTEN-deficient trastuzumab-resistant breast cancer
- Trastuzumab resistance induces EMT to transform HER2 + PTEN' to a triple negative breast cancer that requires unique treatment options
- Computational Aspects of Optional Pólya Tree
Grants
- Co-investigator of: Non-invasive detection of head and neck cancer via cell-free tumor DNA in urine remotely collected at home
- Co-investigator of: Determining the role of GRAIL (RNF128) isoform changes on resistance to chemotherapy in neoadjuvant therapy for esophageal adenocarcinoma.
- Co-investigator of: Development of a GRAIL-derived therapeutic peptide to protect loss of effector T-cells to inhibit Barretts progression to esophageal Adenocarcinoma