… she developed and implemented reproducible analytic pipelines in R and Python for large-scale sequencing data, incorporating dimensionality reduction, clustering, … data visualization, with a particular emphasis on building transparent workflows for complex, high-dimensional datasets. She has mentored undergraduate, graduate, and … clustering, dimensionality reduction, network analysis, and machine learning for high-dimensional data. Programming & Tools: R, Python, Unix/Linux, Jupyter, HPC …