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

Contact Information

• Office Location: 534 Research Dr, Room #448, Durham, NC 27708
• Office Phone: +1 919 668 9798
• 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

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

In the News

• A Marriage of AI and Photonics to Advance Imaging, Health Care and Public Safety (Jan 30, 2024 | Pratt School of Engineering)
• Fighting Disease with a Smartwatch? That’s Genius (Jan 26, 2024 | Duke Science & Technology)
• How You Can Help Scientists Better Understand COVID Variants With Wearable Devices (Jan 27, 2022 | Duke MEDx)
• 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 4, 2018 | Duke University Pratt School of Engineering)

Representative Publications

• Armoundas, AA; Ahmad, FS; Bennett, DA; Chung, MK; Davis, LL; Dunn, J; Narayan, SM; Slotwiner, DJ; Wiley, KK; Khera, R; American Heart Association Data Science and Precision Medicine Committee of the Council on Genomic and Precision Medicine and Council on Clinical Cardiology; Council on Cardiopulmonary, Critical Care, Perioperative and Resuscitation; Council on Cardiovascular and Stroke Nursing; Council on Lifestyle and Cardiometabolic Health; Council on Peripheral Vascular Disease; Council on Quality of Care and Outcomes Research; and Stroke Council, , Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association., Circulation. Genomic and precision medicine, vol 17 no. 3 (2024) [10.1161/hcg.0000000000000095] [abs].
• Shin, S; Kowahl, N; Hansen, T; Ling, AY; Barman, P; Cauwenberghs, N; Rainaldi, E; Short, S; Dunn, J; Shandhi, MMH; Shah, SH; Mahaffey, KW; Kuznetsova, T; Daubert, MA; Douglas, PS; Haddad, F; Kapur, R, Real-world walking behaviors are associated with early-stage heart failure: a Project Baseline Health Study., J Card Fail (2024) [10.1016/j.cardfail.2024.02.028] [abs].
• Dunn, J; Coravos, A; Fanarjian, M; Ginsburg, GS; Steinhubl, SR, Remote digital health technologies for improving the care of people with respiratory disorders., Lancet Digit Health, vol 6 no. 4 (2024), pp. e291-e298 [10.1016/S2589-7500(23)00248-0] [abs].
• Singh, K; Armstrong, SC; Wagner, BE; Counts, J; Skinner, A; Kay, M; Li, JS; Shah, S; Zucker, N; Neshteruk, C; Story, M; Suarez, L; Kraus, WE; Zizzi, AR; Dunn, J, Physical activity and sleep changes among children during the COVID-19 pandemic., NPJ Digit Med, vol 7 no. 1 (2024) [10.1038/s41746-024-01041-8] [abs].
• Shandhi, MMH; Singh, K; Janson, N; Ashar, P; Singh, G; Lu, B; Hillygus, DS; Maddocks, JM; Dunn, JP, Assessment of ownership of smart devices and the acceptability of digital health data sharing., NPJ digital medicine, vol 7 no. 1 (2024) [10.1038/s41746-024-01030-x] [abs].