Jeremy is a biomedical data scientist and leads a research program focused on the intersection of machine learning, high-performance computing, and precision oncology. His key roles include:
- Section Head of Cancer Data Science in the Division of Oncological Sciences at the Knight Cancer Institute
- Associate Professor of Biomedical Engineering Department and Computational Biology at Oregon Health and Science University
- Lead for Computational Biology Research for the Knight Cancer Institute’s Precision Oncology program.
In these roles, he and his team develop computational methods for precision oncology that integrate clinical, imaging, and omics data to predict tumor response to therapies and identify molecular mechanisms that tumors use to adapt and become resistant to therapies. He is principal investigator for an NCI Cancer Moonshot Center in the Human Tumor Atlas Network (https://humantumoratlas.org) that is generating and analyzing molecular tumor atlases using single-cell omics and imaging assays applied to longitudinal biopsies. Dr. Goecks is also a principal investigator for the Galaxy platform (http://galaxyproject.org), a computational workbench used daily by thousands of scientists across the world.
Jeremy's Google Scholar profile