Jordan A. Lee

  • Computational Biologist, Computational Biology Program, School of Medicine
  • OHSU Center for Spatial Systems Biomedicine, School of Medicine
  • Biomedical Engineering, School of Medicine

Biography

Jordan A. Lee is a computational biologist in Dr. Kyle Ellrott's lab at the OHSU Knight Cancer Institute. She is currently taking a multi-platform machine learning approach to predict tumor phenotypes through cross model performance and optimization analysis. Additionally, she is interrogating BMEG data integration builds and drug response consistency across established genomic sources and published literature to identify actionable gaps in cancer research. She is also investigating common single-cell protocols for confounding variables in order to suggest single-cell guidelines for researchers. Lastly, she is benchmarking RNA deconvolution algorithms of cancer patient samples and tumors generated through 3D bioprinting tumors.

Education and training

    • B.S., 2015, University of Washington
    • M.Sc., 2019, University of Oregon

Areas of interest

  • Machine Learning
  • Precision Medicine
  • Computational Biology
  • Cancer Systems Biology

Publications

Publications

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