Bioinformatics Master's student with hands-on experience building automated Python and R pipelines for large-scale genomic and biological datasets
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Bioinformatics Master's student with hands-on experience building automated Python and R pipelines for large-scale genomic and biological datasets, including NGS analysis, statistical modeling, and reproducible workflow design. Skilled in quantitative analysis (ANOVA, Tukey, pattern recognition), data visualization, and quality-control automation, with a working knowledge of protein structure and molecular biology. Comfortable operating across Unix/Linux and HPC environments, documenting computational workflows for reproducibility, and communicating complex findings to interdisciplinary scientific audiences.
Seeking to apply computational biology and data science skills to next-generation analyte profiling and precision medicine research.
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Bachelor of Science - Biology - University of Massachusetts Amherst (2023-05)