OPERATIVE_PROFILE

Graduate training centered on multi-omics analysis, data integration, and biomarker discovery using machine-learning approaches. Developed end-to-end analytical workflows—from pipeline construction to downstream processing, visualization, and result interpretation.

Responsible for developing automated NGS/qPCR gut microbiome reporting pipelines on GCP, performing preprocessing and analysis using QIIME2 and pandas, generating visualizations with matplotlib and Seaborn, and delivering JSON-based results for frontend rendering, alongside literature review and web scraping to optimize workflows.

Studied organic chemistry, biochemistry, molecular biology, and standard wet-lab experimental techniques. Joined a structural bioinformatics laboratory, where I began working with protein structure analysis and gained my first experience in computational biology.