Jessilyn Dunn

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

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

  • 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, 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.
  • 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.” The Lancet. Digital Health, February 2024, S2589-7500(23)00248-0. https://doi.org/10.1016/s2589-7500(23)00248-0.
  • Holko, Michelle, Chris Lunt, and Jessilyn Dunn. “Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access (PSB2024).” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 29 (January 2024): 163–69.
  • Lauer, S., J. Luo, L. Lazar-Stefanita, W. Zhang, L. H. McCulloch, V. Fanfani, E. Lobzaev, et al. “Context-dependent neocentromere activity in synthetic yeast chromosome VIII.” Cell Genomics 3, no. 11 (November 8, 2023). https://doi.org/10.1016/j.xgen.2023.100437.
  • Pasquale, Dana K., Whitney Welsh, Andrew Olson, Mark Yacoub, James Moody, Brisa A. Barajas Gomez, Keisha L. Bentley-Edwards, et al. “Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks.” J Public Health Manag Pract 29, no. 6 (November 2023): 863–73. https://doi.org/10.1097/PHH.0000000000001780.