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
- 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
- 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 Safet…
- Fighting Disease with a Smartwatch? That’s Genius (Jan 26, 2024 | Duke Science …
- How You Can Help Scientists Better Understand COVID Variants With Wearable Devi…
- Duke Celebrates Women and Girls in Science Day (Feb 10, 2021)
- Early Detection of COVID-19: How Your Smartwatch Could Help (Aug 25, 2020 | Duk…
- School of Medicine Forum Addresses the Role of Data Science During Times of Cri…
- A COVID-19 Study for Early Detection Expands to Reach New Communities (Jun 15, …
- 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 | …
- 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 (Fe…
- Jessilyn Dunn: Gaining Insights from Biomedical Big Data (Jun 5, 2018 | Duke Un…
Representative Publications
- Armoundas, Antonis A., Faraz S. Ahmad, Derrick A. Bennett, Mina K. Chung, Leslie L. Davis, Jessilyn Dunn, Sanjiv M. Narayan, et al. “Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association.” Circulation. Genomic and Precision Medicine 17, no. 3 (June 2024): e000095. https://doi.org/10.1161/hcg.0000000000000095.
- Shin, Sooyoon, Nathan Kowahl, Taylor Hansen, Albee Y. Ling, Poulami Barman, Nicholas Cauwenberghs, Erin Rainaldi, et al. “Real-world walking behaviors are associated with early-stage heart failure: a Project Baseline Health Study.” J Card Fail, April 4, 2024. https://doi.org/10.1016/j.cardfail.2024.02.028.
- Dunn, Jessilyn, Andrea Coravos, Manuel Fanarjian, Geoffrey S. Ginsburg, and Steven R. Steinhubl. “Remote digital health technologies for improving the care of people with respiratory disorders.” Lancet Digit Health 6, no. 4 (April 2024): e291–98. https://doi.org/10.1016/S2589-7500(23)00248-0.
- Singh, Karnika, Sarah C. Armstrong, Brooke E. Wagner, Julie Counts, Asheley Skinner, Melissa Kay, Jennifer S. Li, et al. “Physical activity and sleep changes among children during the COVID-19 pandemic.” NPJ Digit Med 7, no. 1 (March 16, 2024): 70. https://doi.org/10.1038/s41746-024-01041-8.
- Shandhi, Md Mobashir Hasan, Karnika Singh, Natasha Janson, Perisa Ashar, Geetika Singh, Baiying Lu, D Sunshine Hillygus, Jennifer M. Maddocks, and Jessilyn P. Dunn. “Assessment of ownership of smart devices and the acceptability of digital health data sharing.” NPJ Digital Medicine 7, no. 1 (February 2024): 44. https://doi.org/10.1038/s41746-024-01030-x.