Headshot photo of Shannon McWeeney, Ph.D.

Shannon McWeeney, Ph.D.

  • Professor of Medical Informatics and Clinical Epidemiology, School of Medicine
  • Chief Data Officer, OHSU Knight Cancer Institute, School of Medicine
  • Associate Director, Data Science, OHSU Knight Cancer Institute, School of Medicine
  • Vice-Chair, Research , Medical Informatics and Clinical Epidemiology, School of Medicine
  • Biomedical Informatics Graduate Program, School of Medicine


Dr. Shannon McWeeney, Professor and Vice-Chair at Oregon Health and Science University (OHSU), is a methodologist working at the intersection of computer science, biostatistics, and genetics to develop approaches to solve research bottlenecks and novel ways to visualize and interpret information. Her work on novel computational methods and frameworks for prioritization is one of her most significant contributions to science. While these methods were initially applied to precision medicine (cancer), they have wide applicability for target identification and therapeutic prioritization for many complex traits. In 2010, Dr. McWeeney was selected as a Kavli Frontiers Fellow by the US National Academy of Sciences for these contributions.  

Dr. McWeeney is the inaugural Chief Data Officer and Associate Director of Data Science for the OHSU Knight Cancer Institute and has a career-long commitment to data sharing and patient engagement. She served as a member of the Enhanced Data Sharing working group for the NCI Blue Ribbon Panel for the White House Moonshot Initiative and as a member of the Biden Cancer Initiative Data Sharing and Patient Empowerment workstream. 

In 2020, she was named the Director of Medical Bioinformatics for the OHSU Knight Precision Oncology Program, in which she is responsible for the hardening and validation of assays and algorithms in the transition from research analytics to CLIA. She is a M-PI for OHSU’s NCI Acquired Resistance to Therapy Network (ARTNet), which arose from her collaborative work for over a decade as part of the OHSU BeatAML program. She is also an MPI for the NIH Bridge2AI AI-READi Salutogenesis Data Generation Project, collaboratively working to develop automated tools to accelerate the creation of FAIR (Findable, Accessible, Interoperable, and Reusable), CARE (Principles for Indigenous Data Governance) and ethically sourced data sets.  

Education and training

  • Degrees

    • Ph.D., 2000, University of California

Honors and awards

  • 2018 Medical Research Foundation of Oregon Mentor Award



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