Bioinformatician

Applied machine learning, statistical modeling, and bioinformatics to analyze multi-omics datasets for biomarker and target discovery.

Key Responsibilities

• Applied machine learning, statistical modeling, and bioinformatics to analyze multi-omics datasets (TCGA, 1000 Genomes, GEO) for biomarker and target discovery.
• Performed feature selection, clustering, and survival analysis to link gene expression patterns with clinical outcomes, presenting results through clear, data-driven visualizations.

Technologies Used

Python, R, Machine Learning, Statistical Modeling, TCGA, 1000 Genomes, GEO databases