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
  • Member in the Duke Clinical Research Institute

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 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

Representative Publications

  • 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.
  • Lederer, Lauren, Amanda Breton, Hayoung Jeong, Hiral Master, Ali R. Roghanizad, and Jessilyn Dunn. “The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program.” JMIR Mhealth Uhealth 11 (November 3, 2023): e45103. https://doi.org/10.2196/45103.
  • 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.
  • Gill, Jason Mr, Timothy J. Chico, Aiden Doherty, Jessilyn Dunn, Ulf Ekelund, Peter T. Katzmarzyk, Karen Milton, Marie H. Murphy, and Emmanuel Stamatakis. “Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges.” British Journal of Sports Medicine 57, no. 19 (October 2023): 1223–25. https://doi.org/10.1136/bjsports-2023-106822.
  • Chico, Timothy James, Emmanuel Stamatakis, Fabio Ciravegna, Jessilyn Dunn, Simon Redwood, Rasha Al-Lamee, Reecha Sofat, and Jason Gill. “Device-based measurement of physical activity in cardiovascular healthcare: possibilities and challenges.” British Journal of Sports Medicine 57, no. 19 (October 2023): 1225–26. https://doi.org/10.1136/bjsports-2022-106460.