Rachel Griffard-Smith
Bioinformatic Data Scientist at the University of Kansas Medical Center passionate about the democratization of data. Lover of collage, photography, and climbing big (usually plastic) rocks.
Highlights
Data Science
Data scientist at KUMC, consulting across six concurrent research teams to scope analytical approaches, build end-to-end pipelines, and deliver clear insights from large, complex datasets.
Methods
Experienced in statistical modeling, supervised & unsupervised machine learning, causal inference, and dimensionality reduction — applied across high-dimensional, heterogeneous data on HPC infrastructure.
Open Source
Developer of two open-source R packages adopted by external research teams, and a Nextflow Ambassador contributing to a globally distributed pipeline development community.