IRTA Fellow (Bioinformatics)

Innovative Bioinformatics Scientist/Developer trained in Statistics, Biology, and Programming with over 5 years of experience integrating statistics, biology and programming to drive clinical and multiomics research, and machine learning tool development. Proven track record designing and implementing 20+ robust, reproducible Snakemake workflows, efficiently processing over 20,000 bulk RNA-Seq, WGS, Exome, lrRNA, scRNA and spatial transcriptomic samples on HPC(Biowulf) and cloud (Azure) environments. Collaborated closely with 50+ researchers including Staff Scientists, Physician Scientists, and Research Investigators at NIH and abroad. Certified in Advanced Cancer Discovery (NIH/FAES) and Microsoft AZ-900. Passionate about advancing precision medicine by applying deep domain knowledge in population genetics, cancer biology and immunology, complemented by expertise in biostatistical analysis and scientific programming.