Jessilyn Dunn

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
  • Member in the Duke Clinical Research Institute

Contact Information

  • Office Location: 534 Research Dr, Room #448, Durham, NC 27708
  • 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

  • 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 396T: 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

Representative Publications

  • 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, 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 Genom, vol 3 no. 11 (2023) [10.1016/j.xgen.2023.100437] [abs].
  • Pasquale, DK; Welsh, W; Olson, A; Yacoub, M; Moody, J; Barajas Gomez, BA; Bentley-Edwards, KL; McCall, J; Solis-Guzman, ML; Dunn, JP; Woods, CW; Petzold, EA; Bowie, AC; Singh, K; Huang, ES, Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks., J Public Health Manag Pract, vol 29 no. 6 (2023), pp. 863-873 [10.1097/PHH.0000000000001780] [abs].
  • Charlton, PH; Allen, J; Bailón, R; Baker, S; Behar, JA; Chen, F; Clifford, GD; Clifton, DA; Davies, HJ; Ding, C; Ding, X; Dunn, J; Elgendi, M; Ferdoushi, M; Franklin, D; Gil, E; Hassan, MF; Hernesniemi, J; Hu, X; Ji, N; Khan, Y; Kontaxis, S; Korhonen, I; Kyriacou, PA; Laguna, P; Lázaro, J; Lee, C; Levy, J; Li, Y; Liu, C; Liu, J; Lu, L; Mandic, DP; Marozas, V; Mejía-Mejía, E; Mukkamala, R; Nitzan, M; Pereira, T; Poon, CCY; Ramella-Roman, JC; Saarinen, H; Shandhi, MMH; Shin, H; Stansby, G; Tamura, T; Vehkaoja, A; Wang, WK; Zhang, Y-T; Zhao, N; Zheng, D; Zhu, T, The 2023 wearable photoplethysmography roadmap., Physiological Measurement, vol 44 no. 11 (2023) [10.1088/1361-6579/acead2] [abs].