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

Courses Taught

  • BIOSTAT 707: Statistical Methods for Learning and Discovery
  • 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 395T: Health Policy & Innovation Research Team
  • HLTHPOL 795: Bass Connections COVID-19 Research Team
  • HLTHPOL 795T: Bass Connections Health Policy & Innovation Research Team

In the News

Representative Publications

  • Bent, B; Cho, PJ; Wittmann, A; Thacker, C; Muppidi, S; Snyder, M; Crowley, MJ; Feinglos, M; Dunn, JP, Non-invasive wearables for remote monitoring of HbA1c and glucose variability: Proof of concept, Bmj Open Diabetes Research & Care, vol 9 no. 1 (2021) [10.1136/bmjdrc-2020-002027] [abs].
  • Bent, B; Cho, PJ; Henriquez, M; Wittmann, A; Thacker, C; Feinglos, M; Crowley, MJ; Dunn, JP, Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches., Npj Digital Medicine, vol 4 no. 1 (2021) [10.1038/s41746-021-00465-w] [abs].
  • Dunn, J; Kidzinski, L; Runge, R; Witt, D; Hicks, JL; Schüssler-Fiorenza Rose, SM; Li, X; Bahmani, A; Delp, SL; Hastie, T; Snyder, MP, Wearable sensors enable personalized predictions of clinical laboratory measurements., Nature Medicine, vol 27 no. 6 (2021), pp. 1105-1112 [10.1038/s41591-021-01339-0] [abs].
  • 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].