About me:

I am a skilled bioinformatics scientist with 10+ years of experience in large-scale NGS data analysis with focus on cancer biology. I am particularly interested in the integration of large-scale multi omics (genomic, transcriptomic, proteomic) data and designing data-driven solutions to answer the fundamental research questions for drug discovery.

• A recognized genomics expert (30+ peer-reviewed publications, Co-investigator on multiple research grants) who work closely with bench scientists and make contributions in the area of experimental design, hypothesis generation, and follow-up studies.
• Proficient in data processing, analyses and interpretation of NGS workflows for RNAseq (Bulk, single-cell RNAseq and Spatial transcriptomics, TTseq), DNAseq (WGS/WES variant discovery), functional genomics (CRISPR, miRNA), epigenomics (ATAC-Seq, ChIP-Seq), Databases (TCGA, CCLE, GEO, NCBI).
• Co-manage the bioinformatics core facility to support 20+ faculty members across the Purdue University and Indiana University.
• Designed custom computational biology pipelines and integrated data visualization solutions using HPC Linux environment, R, Python and Nextflow.

Skills:

1. R for bioinformatics
2. R for Data visualization
3. Bioinformatics workflows (single-cell RNAseq, spatial transcriptomics, CRISPR technologies, WGS/WES variant calling)
4. High Performance Computing (HPC)
5. Cloud Computing
6. Python
7. SQL Database

Research Interests:

Cancer Research, Drug Discovery, Novel Technology

Hobbies:

I enjoy tranquil nature trails and playing Tennis.

For more info

More info about configuring academicpages can be found in the guide. The guides for the Minimal Mistakes theme (which this theme was forked from) might also be helpful.