Professional with strong expertise in metagenomics, whole-genome sequencing, RNA-seq analysis, and microbial genomics. Experienced in machine learning model development, data preprocessing, and statistical analysis using Python, R, Linux, SPSS, and Excel. Proficient in high-performance computing, pipeline development, and scientific visualization using BioRender, Illustrator, and RStudio. Contributed to research on cancer microbiome interactions, SNP prioritization, and predictive modeling for immunotherapy outcomes, with multiple publications and conference presentations. Demonstrated leadership in academic research, internships, and student organizations, with a track record of academic excellence and effective science communication.
2022 - 2024: Master's in science @ NUST