Kyle Ellrott, Ph.D.

  • Assistant Professor of Computational Biology Program, School of Medicine
  • Biomedical Engineering Graduate Program, School of Medicine
  • Program in Molecular and Cellular Biosciences, School of Medicine
  • OHSU Center for Spatial Systems Biomedicine, School of Medicine

Biography

My research considers the various aspects of large scale data integration in the field of computational biology specifically as related to Cancer Biology. I have also worked in protein structure prediction and metagenomics, but through these different topics I have worked to integrate multiple types of experimental data, different forms of analysis and existing knowledge to improve analysis and recognition techniques.

The goal of my current research has been to create systems that allow the integration of data from large cancer cohorts in hopes of doing synthetic lethality target detection, significant non-coding mutation detection, and pathway level mutational effect analysis. To enable this research I have spent time working on pipeline systems to automate the running of analytical tools as well as working to define the which techniques will provide the most accurate data as well as developing frameworks for large scale distributed computing.

Education

  • B.S., 2004, University of California
  • Ph.D., 2008, University of Tennessee

Areas of interest

  • Computational biology
  • Data science
  • Machine learning
  • Precision medicine
  • Cancer early detection

Publications

Publications

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