• Bioinformatics research scientist with strong biology background in autoimmunity and oncology
• Combine bioinformatics and statistics approaches to analyze high dimensional data, including microarray, sequencing and proteomics, from clinical and pre-clinical studies
• Drug target and Biomarker discovery, study of disease pathogenesis
• Bioinformatics
-ChIPseq, RNAseq, microarray, proteomics and other high dimensional data
-Data integration and presentation,
-R programing, Python, Bioconductor and linux operation
• Statistics
Machine Learning, Linear Regression, Multivariant Analysis, Baysian statistics and Non-parametric analysis