Post Masters Research Associate
Post Masters Research Associate

Biography

Rachel Richardson is a post-masters research associate for the Machine Learning and Computational Statistics team. She works on various bioinformatics projects. Her previous professional work includes working as a QC analyst for Seattle Genetics and in a research lab during her undergraduate studies. Richardson’s work typically focuses on workflow development for biological projects, often requiring application and package development, as well as interpretation of results. Current projects of interest include developing a user interface for multi-omics application of pmartR and a QuickStarter project relating electromagentic imaging of facemasks to overall performance.

Disciplines and Skills

  • Programming in R, Bash, Python
  • Shiny app and package development in R
  • Data visualization

Education

  • B.S., Biology, Cell and Molecular Emphasis - Western Washington University
  • M.S., Biology, Bioinformatics and Geonomics - University of Oregon

Publications

2025

  • Degnan D.J., D.M. Claborne, R.E. Richardson, C.W. Strauch, E.C. Glasscock, D. Velickovic, and K.E. Burnum-Johnson, et al. 2025. "MODE: A Web Application for Interactive Visualization and Exploration of Omics Data." Journal of Proteome Research. PNNL-SA-201707. doi:10.1021/acs.jproteome.4c00650

2024

  • Richardson R.E., D.T. Leach, N.M. Winans, D.J. Degnan, A.V. Prymolenna, and L.M. Bramer. 2024. "Race-Specific Risk Factors for Homeownership Disparity in the United States." Journal of Data Science 22, no. 4:591-604. PNNL-SA-180676. doi:10.6339/23-JDS1116

2023

  • Couvillion S.P., R.E. Danczak, D.T. Naylor, M.L. Smith, K.G. Stratton, V.L. Paurus, and K.J. Bloodsworth, et al. 2023. "Rapid remodeling of the soil lipidome in response to a drying-rewetting event." Microbiome 11, no. 2023:34. PNNL-SA-172149. doi:10.1186/s40168-022-01427-4
  • Couvillion S.P., R.E. Danczak, X. Cao, Q. Yang, T.P. Keerthisinghe, R.S. McClure, and D. Bitounis, et al. 2023. "Graphene oxide exposure alters gut microbial community composition and metabolism in an in vitro human model." NanoImpact 30. PNNL-SA-177384. doi:10.1016/j.impact.2023.100463
  • Degnan D.J., K.G. Stratton, R.E. Richardson, D.M. Claborne, E.A. Martin, N.A. Johnson, and D.T. Leach, et al. 2023. "pmartR 2.0: A Quality Control, Visualization, and Statistics Pipeline for Multiple Omics Datatypes." Journal of Proteome Research 22, no. 2:570-576. PNNL-SA-177968. doi:10.1021/acs.jproteome.2c00610
  • Harouaka K., R.E. Richardson, E.C. Glasscock, A.D. French, I.J. Arnquist, E.W. Hoppe, and S.M. Akers, et al. 2023. Development of a hybrid neural network and transfer learning model for optimized ICP-MS/MS operation. PNNL-33377. Richland, WA: Pacific Northwest National Laboratory. Development of a hybrid neural network and transfer learning model for optimized ICP-MS/MS operation
  • Leach D.T., K.G. Stratton, J. Irvahn, R.E. Richardson, B.M. Webb-Robertson, and L.M. Bramer. 2023. "malbacR: A package for standardized implementation of batch correction methods for omics data." Analytical Chemistry 95, no. 35:12195-12199. PNNL-SA-183164. doi:10.1021/acs.analchem.3c01289

2022

  • Eloe-Fadrosh E., F. Ahmed, F. Anubhav, M. Babinski, J. Baumes, M.I. Borkum, and L.M. Bramer, et al. 2022. "The National Microbiome Data Collaborative Data Portal: an integrated multi-omics microbiome data resource." Nucleic Acids Research 50, no. D1:D828-D836. PNNL-SA-165796. doi:10.1093/nar/gkab990