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
- Office Location: 534 Research Dr, Room #448, Durham, NC 27708
- Ph.D. Georgia Institute of Technology, 2015
Research InterestsUse of large-scale biomedical datasets to model and guide personalized therapies.
- 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 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 290S: Special Topics in Information Science + Studies
- ISS 395T: Bass Connections Information, Society & Culture Research Team
- ISS 396T: Bass Connections Information, Society & Culture Research Team
- ISS 795T: Bass Connections Information, Society & Culture Research Team
- ISS 796T: Bass Connections Information, Society & Culture Research Team
In the News
- 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…
- Sheikh, Abu Baker, Paul A. Sobotka, Ishan Garg, Jessilyn P. Dunn, Abdul Mannan Khan Minhas, Md Mobashir Hasan Shandhi, Jeroen Molinger, Barry J. McDonnell, and Marat Fudim. “Blood Pressure Variability in Clinical Practice: Past, Present and the Future.” J Am Heart Assoc 12, no. 9 (May 2, 2023): e029297. https://doi.org/10.1161/JAHA.122.029297.
- Chikwetu, Lucy, Shaundra Daily, Bobak J. Mortazavi, and Jessilyn Dunn. “Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study.” Jmir Formative Research 7 (May 2023): e46659. https://doi.org/10.2196/46659.
- Chikwetu, Lucy, Yu Miao, Melat K. Woldetensae, Diarra Bell, Daniel M. Goldenholz, and Jessilyn Dunn. “Does deidentification of data from wearable devices give us a false sense of security? A systematic review.” The Lancet. Digital Health 5, no. 4 (April 2023): e239–47. https://doi.org/10.1016/s2589-7500(22)00234-5.
- Ke Wang, Will, Lucia Cesnakova, Jennifer C. Goldsack, and Jessilyn Dunn. “Defining the Digital Measurement of Scratching During Sleep or Nocturnal Scratching: Review of the Literature.” Journal of Medical Internet Research 25 (April 2023): e43617. https://doi.org/10.2196/43617.
- Popham, Sara, Maximilien Burq, Erin E. Rainaldi, Sooyoon Shin, Jessilyn Dunn, and Ritu Kapur. “An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study.” Jmir Biomedical Engineering 8 (March 7, 2023): e43726–e43726. https://doi.org/10.2196/43726.