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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
  • Member in the Duke Clinical Research Institute

Contact Information

  • Office Location: 534 Research Dr, Room #448, 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

  • BIOSTAT 707: Statistical Methods for Learning and Discovery
  • BME 290: Intermediate Topics (GE)
  • BME 493: Projects in Biomedical Engineering (GE)
  • BME 494: Projects in Biomedical Engineering (GE)
  • BME 580: An Introduction to Biomedical Data Science (GE)
  • BME 590: Special Topics in Biomedical Engineering
  • BME 790: Advanced Topics for Graduate Students in Biomedical Engineering
  • BME 791: Graduate Independent Study
  • BME 792: Continuation of Graduate Independent Study
  • BME 899: Special Readings in Biomedical Engineering
  • EGR 393: Research Projects in Engineering
  • HLTHPOL 395: Bass Connections COVID-19 Research Team
  • HLTHPOL 395T: Health Policy & Innovation Research Team
  • HLTHPOL 396T: Bass Connections Health Policy & Innovation Research Team
  • HLTHPOL 795: Bass Connections COVID-19 Research Team
  • HLTHPOL 795T: Bass Connections Health Policy & Innovation Research Team
  • HLTHPOL 796T: Bass Connections Health Policy & Innovation Research Team
  • ISS 395T: Bass Connections Information, Society & Culture Research Team
  • ISS 795T: Bass Connections Information, Society & Culture Research Team

In the News

Representative Publications

  • Cho, PJ; Yi, J; Ho, E; Shandhi, MMH; Dinh, Y; Patil, A; Martin, L; Singh, G; Bent, B; Ginsburg, G; Smuck, M; Woods, C; Shaw, R; Dunn, J, Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design., Jmir Mhealth and Uhealth, vol 10 no. 4 (2022) [10.2196/29510] [abs].
  • Dunn, J; Shandhi, MMH; Cho, P; Roghanizad, A; Singh, K; Wang, W; Enache, O; Stern, A; Sbahi, R; Tatar, B; Fiscus, S; Khoo, QX; Kuo, Y; Lu, X; Hsieh, J; Kalodzitsa, A; Bahmani, A; Alavi, A; Ray, U; Snyder, M; Ginsburg, G; Pasquale, D; Woods, C; Shaw, R, A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19., Res Sq (2022) [10.21203/rs.3.rs-1490524/v1] [abs].
  • Shandhi, MMH; Goldsack, JC; Ryan, K; Bennion, A; Kotla, AV; Feng, A; Jiang, Y; Wang, WK; Hurst, T; Patena, J; Carini, S; Chung, J; Dunn, J, Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review., Journal of Medical Internet Research, vol 23 no. 9 (2021) [10.2196/29875] [abs].
  • 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].