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
  • Vice-Chair, Research , Medical Informatics and Clinical Epidemiology, School of Medicine
  • Biomedical Informatics Graduate Program, School of Medicine


I am 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.

In my work, my strengths have been in being able to “think outside the box” and my ability to rapidly synthesize information from diverse fields which has allowed me to keep pace with rapidly evolving technology and target key areas early.

My work on novel computational methods and frameworks for prioritization is one of my 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, I was selected as a Kavli Frontiers Fellow by the US National Academy of Sciences for my contributions. Since 2013, I have served as the Leader of Computational Biomedicine for the Beat AML consortium, comprised of 11 academic medical centers and 11 pharmaceutical and biotechnology companies, focused on methods and novel visualization to support precision oncology.

In 2020, I was named the Director of Medial Bioinformatics for the OHSU Knight Precision Oncology Program, in which I am responsible for the hardening and validation of assays and algorithms in the transition from research analytics to CLIA.

In 2021, I was named the inaugural Chief Data Officer for the Knight Cancer Institute.

Since 2022, I serve as M-PI 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.

In 2023, I was selected to serve as the co-chair of the OHSU Center for Biological Data Science Advisory Board. 

Education and training

    • Ph.D., 2000, University of California

Honors and awards

  • 2018 Medical Research Foundation of Oregon Mentor Award



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