About Me
With a Ph.D. in bioinformatics from Georgia Tech and over 10 years of experience in academic and industry settings, I lead projects that bridge molecular biology and computational genomics. As the Bioinformatics Team Lead at Leidos, I collaborate with the CDC to optimize data pipelines, mentor scientists, and support research in public health. My interests focuses on advancing cell and gene therapy through genomic technologies, specializing in single-cell RNA and multi-omics data for therapeutic applications and clinical data analysis.
Key Projects
- Optimized bioinformatics workflows for large osteoarthritis clinical trial datasets, analyzing 500+ samples for treatment insights and model treatment responsiveless.
- Developed scalable bioinformatics pipelines for NIH-funded projects, utilizing Bash, R, Python to streamline genomic analysis.
- Secured $1.8M and $1.7M in grants for groundbreaking work in therapeutic genomics and multi-omics analysis in cell therapy research.
- Collaborated with 10x Genomics and Illumina to integrate NGS technologies, establishing SOPs that expanded lab capabilities in single-cell genomics.
Technical Expertise
Programming: Proficient in Python and R for statistical analysis and data visualization.
Bioinformatics Tools: Skilled in genomic data processing, sequence analysis, and structure prediction.
High-Performance Computing: Experienced with HPC systems for processing large-scale datasets.
Version Control: Git for efficient project management and collaboration.
Machine Learning: Applying predictive models to biological datasets for research insights.
Publications
For a full list of publications, visit my Google Scholar Profile.