Jessilyn Dunn
Assistant Professor in the Department 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
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:
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
- Dunn, J; Coravos, A; Fanarjian, M; Ginsburg, GS; Steinhubl, SR, Remote digital health technologies for improving the care of people with respiratory disorders., The Lancet. Digital 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].
- Holko, M; Lunt, C; Dunn, J, Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access (PSB2024)., Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, vol 29 (2024), pp. 163-169 [abs].
- Lauer, S; Luo, J; Lazar-Stefanita, L; Zhang, W; McCulloch, LH; Fanfani, V; Lobzaev, E; Haase, MAB; Easo, N; Zhao, Y; Yu, F; Cai, J; Anne, L; Barger, JS; Belkaya, N; Boulier, K; Butler, K; Callaghan, M; Chang, C; Chen, J; Chen, XJ; Cho, IY; Choi, E; Choi, WJ; Chuang, J; Cook, AL; Cooper, E; Culbertson, NT; Dunn, J; Floria, C; Grogan Anderson, B; Held, NP; Hsiao, E; Igwe, JK; Kang, K; Karanxha, J; Kelly, M; Khakhar, A; Khunsriraksakul, C; Kim, JJ; Kim, D; Kim, JW; Lamb, A; Lee, DSH; Lee, YK; Lim, J; Liu, S; Lopez, J; Lu, ZA; Ma, H; Mandel, JA; Mao, J; Matelsky, J; Merran, J; Mohan, R; Montoya, C; Murugan, S; Ni, L; Oh, WC; Park, Y; Paulsen, L; Phillips, N; Pinglay, S; Rajan, VA; Ransom, G; Rhoads, E; Sanna, P; Scher, E; Shah, J; Sharma, A; Shepardson, MC; Song, J; Sontha, S; Srinivas, V; Tan, S; Tu, AA; Uhl, S; Xiaoyue, W; Yu, J; Zhu, A; Bader, JS; Stracquadanio, G; Boeke, JD, Context-dependent neocentromere activity in synthetic yeast chromosome VIII, Cell Genomics, vol 3 no. 11 (2023) [10.1016/j.xgen.2023.100437] [abs].