Dr Jessica Tenenbaum
Professional Title: Programme Manager/Project Manager
Other: Associate Director for Bioinformatics
Primary domain: translational bioinformatics
Organization name: Duke University
Organization type: Academia/Research
City / Country: Durham - United States
Dr. Tenenbaum Associate Director for Bioinformatics for the Duke Translational Medicine Institute (DTMI) Biomedical Informatics Core (BIC). Her research focuses on infrastructure and standards to enable research collaboration and integrative data analysis. Other research interests include genomics, biomarkers, personalized medicine, systems biology, and computer-human interaction. At Duke, Dr. Tenenbaum oversees the MURDOCK Integrated Data Repository (MIDR), a standards-compliant integrated data repository for clinical, omic, biobanking, and consent data as well as experimental and protocol metadata. She also contributes bioinformatics area expertise to the development of strategic partnerships for both the DTMI and the Biomarker Factory. At the national level, Dr. Tenenbaum is an active member of the CTSA Consortium. She served a two-year term as an elected member of the CTSA Informatics KFC Operations Committee, is founder and chair of the CTSA Omics Data Standards Working Group, and played a leadership role in the development of the Resource Discovery System. She is lead author on a new chapter dedicated to Translational Bioinformatics in the 4th edition of the widely used Shortliffe textbook on Biomedical Informatics edited and recently chaired the Scientific Program Committee for the American Medical Informatics Association's 2013 Summit on Translational Bioinformatics. Dr. Tenenbaum earned her bachelor’s degree in biology from Harvard University in 1996, with a focus on computer science. She then worked as a program manager at Microsoft Corporation in Redmond, WA for six years before returning to academia to pursue a PhD in biomedical informatics at Stanford University. Her doctoral research focused on integration and analysis of disparate “-omic” scale datasets, and mining publicly available data for insights into human disease. As a Science Policy Fellow at the Institute of Medicine in Washington, DC, she helped to organize the Roundtable on Evidence-Based Medicine and assisted in early planning stages for a workshop on health information technology.