Associate Professor of Biomedical Engineering
Developing new AI and sensing 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
- Associate Professor of Biomedical Engineering
- Associate Professor of Biostatistics & Bioinformatics
- Assistant Professor in the Department of Electrical and Computer Engineering
- Assistant Professor in Medicine
- Member in the Duke Clinical Research Institute
Contact Information
- Office Location: 534 Research Dr, Durham, NC 27708
- Websites:
Education
- Ph.D. Georgia Institute of Technology, 2015
Research Interests
Generation and use of large-scale biomedical datasets for AI modeling and digital biomarker development to guide personalized, just-in-time 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
- EGR 393: Research Projects in Engineering
- ECE 899: Special Readings in Electrical Engineering
- BME 793: Graduate Independent Study
- BME 792: Continuation of Graduate Independent Study
- BME 791: Graduate Independent Study
- BME 790L: Advanced Topics with the Lab for Graduate Students in Biomedical Engineering
- BME 789: Internship in Biomedical Engineering
- BME 590: Special Topics in Biomedical Engineering
- BME 494: Projects in Biomedical Engineering (GE)
- BME 493: Projects in Biomedical Engineering (GE)
- BME 390L: Special Topics with a Lab
- BME 290: Intermediate Topics (GE)
In the News
- Nine Faculty Named 2026 Bass Chairs (Apr 24, 2026 | Office of Undergraduate Edu…
- New Center Brings Technological Advances to the Future of Health Care (Apr 10, …
- 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 …
- 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)
Representative Publications
- Jeong, Hayoung, Srikar Katta, Will Ke Wang, Alexander Volfovsky, and Jessilyn Dunn. “Impact of daylight saving time on physical activity patterns.” Nature Health, April 23, 2026. https://doi.org/10.1038/s44360-026-00115-z.
- Jiang, Yihang, Connor Spies, Ali R. Roghanizad, Will Ke Wang, Satasuk Joy Bhosai, Laurie Snyder, Ashley Burke, David MacLeod, and Jessilyn Dunn. “Performance of Wearable Pulse Oximetry During Controlled Hypoxia Induction: Instrument Validation Study.” JMIR Form Res 10 (March 27, 2026): e85253. https://doi.org/10.2196/85253.
- Jeong, Hayoung, Srikar Katta, Will Ke Wang, Alexander Volfovsky, and Jessilyn Dunn. “Should We Keep Changing the Clock? Characterizing Causal Effects of Daylight Saving Time on Behavior and Physiology.,” March 8, 2026. https://doi.org/10.64898/2025.12.20.25342749.
- Hurwitz, Eric, Evan Connelly, Miriam Sklerov, Hiral Master, Harry Hochheiser, Zachary Butzin-Dozier, Jessilyn Dunn, and Melissa A. Haendel. “Population differences in wearable device wear time: Rescuing data to address biases and advance health equity.” MedRxiv, March 6, 2026. https://doi.org/10.64898/2026.03.06.26347799.
- Crowson, Matthew G., Jade Z. H. Tan, Jessilyn Dunn, Jay Bhatt, Zachary Schneider, Daniel Forger, Leo A. Celi, Matilda Dorotic, and Bradley Malin. “The need to develop health data transaction disclosure requirements to balance transparency, privacy, and progressive use.” The Lancet. Digital Health 8, no. 2 (February 2026): 100947. https://doi.org/10.1016/j.landig.2025.100947.