Hutch Data Commonwealth
Matthew Trunnell is Chief Information Officer and Vice President of Fred Hutch Information Technology (IT). In his role Matthew Trunnell oversees enterprise and scientific computing services and leads a team of data analysts and software engineers building new capabilities to leverage clinical data for research. Trunnell is also working to forge connections between the Hutch and the broader technology community in Seattle to help power cancer research.
Trunnell came to the Hutch from the Broad Institute of MIT and Harvard where he had served as head of CIO and manager of research computing during the period of explosive growth in research data infrastructure capabilities in support of the growth in next-generation sequencing activities. As IT and informatics became more central to the large-scale generation of data, Trunnell initiated a new organization within the Institute bringing together computational biologists and professional software engineers focused on developing advanced informatics capabilities.
Having started his professional life as a computational oceanographer, Trunnell found his way into the genomics world in the late 90’s and has been supporting applied scientific computing in both academic and commercial environments since.
Ruth Etzioni, PhD
Dr. Ruth Etzioni, chair of the HDC scientific steering committee, is a biostatistician and full member in the Division of Public Health Sciences at the Fred Hutch. She received her PhD in statistics from Carnegie-Mellon University. Dr. Etzioni’s work focuses on statistical and computer modeling for policy development. A critical component of this work is the estimation of disease natural history and progression which then forms a substrate for modeling comparative effectiveness of alternative interventions.
Dr Etzioni’s early work on natural history modeling focused on ovarian cancer. For the last 10-15 years she has modeled prostate cancer as part of the National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network (CISNET) for which she is the Principal Investigator on the Prostate Cancer Coordinating Center. More recently she has developed models for breast cancer overdetection and treatment. Dr Etzioni is a member of three national panels on prostate cancer early detection, and serves on the American Cancer Society’s Screening Guideline development Panel.
She is the designer of and instructor for the Advanced Methods: Large Public Databases, Big Data course offered to Health Services PhD students at the University of Washington, a past member of the HSOD (Health Services, Outcomes and Delivery) Study Section at the National Institutes of Health and a Fellow of the American Statistical Association.
Dr. Naveen Ashish is principal data scientist with the Hutch Data Commonwealth at the Fred Hutch. In this role he provides data science expertise and leadership towards developing practical data science solutions for empowering and accelerating data analytics for medical investigation.
Naveen’s expertise includes biomedical data sharing and integration, machine-learning, and the automated extraction of information from unstructured natural language text. He has authored two books and close to 100 papers in these areas. He comes to the Hutch Data Commonwealth from an academic career at the Universities of California Irvine (UCI) and Southern California (USC) where he led efforts in biomedical data sharing and integration, and also knowledge engineering and natural language processing for translational clinical informatics.
He received a PhD in Computer Science from the University of Southern California, and a BTech, also in Computer Science, from the Indian Institute of Technology Kanpur (India).