I am a highly motivated bioinformatics student at Johns Hopkins University with a strong background in genome and gene expression analysis, NGS data processing, and functional annotation. I specialize in integrating multi-omics datasets—including RNA-seq, scRNA-seq, ChIP-seq, ATAC-seq, and variant analysis—to uncover meaningful biological insights, with a focus on genomics and translational research.
Proficient in R, Python, Bash, and Unix/Linux, I have hands-on experience with a wide range of bioinformatics tools and workflows for high-throughput sequencing data. My skill set also includes statistical analysis, machine learning, and data visualization to effectively interpret complex datasets.
I am passionate about leveraging computational approaches to advance cancer research, functional genomics, and personalized medicine. Open to collaborative opportunities, research projects, and roles where I can contribute to innovative bioinformatics solutions.