I work as a Scientist in bioinformatics and contribute in cancer genomics, plant genomics, insect genomics, and tree genomics. I lead and contribute to projects within a team of 12, specializing in the comprehensive analysis of multi-omics data, including transcriptome, epigenome, WGS, WES, RNAExome, spatial transcriptome, and scRNAseq. By implementing advanced Python packages, the R library, and statistical methods, such as regression models, I uncovered critical biological associations between cancer cases and clinical data, contributing to innovative solutions and insights in prostate and breast cancer research.
Previous research areas were wheat, rice, bamboo, grapes, brassica, Thrips tabacci, and blue-green algae where GWAS, transcriptome, WGS, Organelle genome.
I currently focus on predicting fusion genes, germline and somatic variants, CNVs, and sub-clonal variants in CRISPR-edited cell lines. Simultaneously plan to lead the nanopore-based epigenetic data analysis.
I work as a Scientist in bioinformatics and contribute in cancer genomics, plant genomics, insect genomics, and tree genomics. I lead and contribute to projects within a team of 12, specializing in the comprehensive analysis of multi-omics data, including transcriptome, epigenome, WGS, WES, RNAExome, spatial transcriptome, and scRNAseq. By implementing advanced Python packages, the R library, and statistical methods, such as regression models, I uncovered critical biological associations between cancer cases and clinical data, contributing to innovative solutions and insights in prostate and breast cancer research.
Previous research areas were wheat, rice, bamboo, grapes, brassica, Thrips tabacci, and blue-green algae where GWAS, transcriptome, WGS, Organelle genome.
I currently focus on predicting fusion genes, germline and somatic variants, CNVs, and sub-clonal variants in CRISPR-edited cell lines. Simultaneously plan to lead the nanopore-based epigenetic data analysis.