Jessilyn Dunn

Assistant Professor in the Department of Biomedical Engineering

Developing new tools and infrastructure for multi-modal biomedical data integration to drive precision/personalized methods for early detection, intervention, and prevention of disease.

Appointments and Affiliations

• Assistant Professor of Biomedical Engineering
• Assistant Professor of Biostatistics and Bioinformatics
• Assistant Professor in the Department of Electrical and Computer Engineering
• Member in the Duke Clinical Research Institute

Contact Information

• Office Location: Suite 1102 Hock Plaza, Box 2721, Durham, NC 27708
• Email Address: jessilyn.dunn@duke.edu
• Websites:
  • Dunn Lab

Education

• Ph.D. Georgia Institute of Technology, 2015

Research Interests

Use of large-scale biomedical datasets to model and guide personalized therapies.

Courses Taught

• BME 493: Projects in Biomedical Engineering (GE)
• BME 494: Projects in Biomedical Engineering (GE)
• BME 590: Special Topics in Biomedical Engineering
• BME 791: Graduate Independent Study
• BME 792: Continuation of Graduate Independent Study
• EGR 393: Research Projects in Engineering
• HLTHPOL 395: Bass Connections COVID-19 Research Team
• HLTHPOL 795: Bass Connections COVID-19 Research Team

In the News

• Duke Celebrates Women and Girls in Science Day (Feb 10, 2021)
• Early Detection of COVID-19: How Your Smartwatch Could Help (Aug 25, 2020 | Duke Magnify)
• School of Medicine Forum Addresses the Role of Data Science During Times of Crisis (Jul 22, 2020 | School of Medicine)
• A COVID-19 Study for Early Detection Expands to Reach New Communities (Jun 15, 2020 | Pratt School of Engineering)
• Here'e How to Make Smartwatch Health Data Useful for Research (May 15, 2020)
• Using Smartphones in the Effort for Early Detection of COVID-19 (Apr 8, 2020 | Pratt School of Engineering)
• NC Survey Tracks How Residents Are Changing Behavior In Pandemic (Apr 6, 2020)
• Your Skin Tone Won't Affect Your Heart-Tracking Device. Your Activity Might (Feb 11, 2020 | Pratt School of Engineering)
• Jessilyn Dunn: Gaining Insights from Biomedical Big Data (Jun 5, 2018 | Duke University Pratt School of Engineering)

Representative Publications

• Bent, B; Enache, OM; Goldstein, B; Kibbe, W; Dunn, JP, Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'., Npj Digital Medicine, vol 4 no. 1 (2021) [10.1038/s41746-021-00409-4] [abs].
• Bent, B; Sim, I; Dunn, JP, Digital Medicine Community Perspectives and Challenges: Survey Study., Jmir Mhealth and Uhealth, vol 9 no. 2 (2021) [10.2196/24570] [abs].
• Bent, B; Wang, K; Grzesiak, E; Jiang, C; Qi, Y; Jiang, Y; Cho, P; Zingler, K; Ogbeide, FI; Zhao, A; Runge, R; Sim, I; Dunn, J, The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data, Journal of Clinical and Translational Science, vol 5 no. 1 (2021) [10.1017/cts.2020.511] [abs].
• Bent, B; Dunn, JP, Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring, Journal of Clinical and Translational Science, vol 5 no. 1 (2021) [10.1017/cts.2020.526] [abs].
• Bent, B; Dunn, JP, Wearables in the SARS-CoV-2 Pandemic: What Are They Good for?, Jmir Mhealth and Uhealth, vol 8 no. 12 (2020) [10.2196/25137] [abs].