• Streamlined genomic data analysis by developing and optimizing 10+ shell scripts for identification and analysis of mobile elements; reduced processing time by 30%
• Conducts quality control analysis on genomic data sets using Python to maintain accuracy and reliability, leading to a 50% increase success rate for downstream analysis
• Collaborates with professor and graduate students on bioinformatics analysis of mobile elements (transposons and plasmids), contributing to the understanding of mobile element evolution in bacterial genomes