Jessilyn Dunn

Dunn

Assistant Professor 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:

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

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].