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.
Current Appointments & Affiliations
- Assistant Professor of Biomedical Engineering, Biomedical Engineering, Pratt School of Engineering 2019
- Assistant Professor of Biostatistics and Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2021
- Member in the Duke Clinical Research Institute, Duke Clinical Research Institute, Institutes and Centers 2018
Contact Information
- 534 Research Dr, Room #448, Durham, NC 27708
- 534 Research Dr, Room #448, Durham, NC 27705
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Dunn Lab
- Background
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Education, Training, & Certifications
- Ph.D., Georgia Institute of Technology 2015
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Previous Appointments & Affiliations
- Assistant Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2020 - 2022
- Assistant Professor of Biostatistics and Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2019 - 2020
- Visiting AssistantProfessor in the Department of Biomedical Engineering, Biomedical Engineering, Pratt School of Engineering 2018
- Recognition
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In the News
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JAN 27, 2022 Duke MEDx -
FEB 10, 2021 -
AUG 25, 2020 Duke Magnify -
JUL 22, 2020 School of Medicine -
JUN 15, 2020 Pratt School of Engineering -
MAY 15, 2020 -
APR 8, 2020 Pratt School of Engineering -
APR 6, 2020 -
FEB 11, 2020 Pratt School of Engineering -
JUN 5, 2018 Duke University Pratt School of Engineering
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- Research
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Selected Grants
- Global Air Pollution and Health awarded by Underwriters Laboratories Inc. 2021 - 2024
- All of Us Research Project Fitbit Data Analysis awarded by Vanderbilt University 2021 - 2022
- Duke RDS2 (Respondent-Driven Sampling, Respiratory Disease Surveillance) the SNOWBALL Sampling Study awarded by Centers for Disease Control and Prevention 2020 - 2022
- AMETHYST Trial Collaboration awarded by AstraZeneca LP 2020 - 2022
- Expanding the Open mHealth Platform to include a Digital Biomarker Discovery Pipeline (DBDP) awarded by Chan Zuckerberg Initiative 2020 - 2022
- Workshop on Technology for Automated Capture of Diet, Nutrition, and Eating Behaviors in Context awarded by The Trustees of Columbia University 2021 - 2022
- CovIdentify: Using Mobile Health Technologies to Detect and Monitor COVID-19 in Essential Workers in North Carolina awarded by North Carolina Biotechnology Center 2020 - 2021
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External Relationships
- ACI Gold Track
- Human Engineering Health Oy - Veri
- The Digital Medicine Society
- npj Digital Medicine
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Cho, Peter Jaeho, Jaehan Yi, Ethan Ho, Md Mobashir Hasan Shandhi, Yen Dinh, Aneesh Patil, Leatrice Martin, et al. “Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.” Jmir Mhealth Uhealth 10, no. 4 (April 8, 2022): e29510. https://doi.org/10.2196/29510.Full Text Link to Item
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Dunn, Jessilyn, Md Mobashir Hasan Shandhi, Peter Cho, Ali Roghanizad, Karnika Singh, Will Wang, Oana Enache, et al. “A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19.” Res Sq, April 1, 2022. https://doi.org/10.21203/rs.3.rs-1490524/v1.Full Text Link to Item
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Shandhi, Md Mobashir Hasan, Jennifer C. Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V. Kotla, Alina Feng, Yihang Jiang, et al. “Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review.” Journal of Medical Internet Research 23, no. 9 (September 15, 2021): e29875. https://doi.org/10.2196/29875.Full Text
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Bent, B., P. J. Cho, A. Wittmann, C. Thacker, S. Muppidi, M. Snyder, M. J. Crowley, M. Feinglos, and J. P. Dunn. “Non-invasive wearables for remote monitoring of HbA1c and glucose variability: Proof of concept.” Bmj Open Diabetes Research and Care 9, no. 1 (June 15, 2021). https://doi.org/10.1136/bmjdrc-2020-002027.Full Text
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Bent, Brinnae, Peter J. Cho, Maria Henriquez, April Wittmann, Connie Thacker, Mark Feinglos, Matthew J. Crowley, and Jessilyn P. Dunn. “Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches.” Npj Digit Med 4, no. 1 (June 2, 2021): 89. https://doi.org/10.1038/s41746-021-00465-w.Full Text Link to Item
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Dunn, Jessilyn, Lukasz Kidzinski, Ryan Runge, Daniel Witt, Jennifer L. Hicks, Sophia Miryam Schüssler-Fiorenza Rose, Xiao Li, et al. “Wearable sensors enable personalized predictions of clinical laboratory measurements.” Nature Medicine 27, no. 6 (June 2021): 1105–12. https://doi.org/10.1038/s41591-021-01339-0.Full Text
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Bent, Brinnae, Oana M. Enache, Benjamin Goldstein, Warren Kibbe, and Jessilyn P. Dunn. “Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'.” Npj Digit Med 4, no. 1 (February 26, 2021): 39. https://doi.org/10.1038/s41746-021-00409-4.Full Text Link to Item
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Bent, Brinnae, Ida Sim, and Jessilyn P. Dunn. “Digital Medicine Community Perspectives and Challenges: Survey Study.” Jmir Mhealth and Uhealth 9, no. 2 (February 3, 2021): e24570. https://doi.org/10.2196/24570.Full Text
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Bent, Brinnae, Maria Henriquez, and Jessilyn Dunn. “Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data.” Ieee Open Journal of Engineering in Medicine and Biology 2 (January 2021): 263–66. https://doi.org/10.1109/ojemb.2021.3105816.Full Text
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Bent, Brinnae, and Jessilyn P. Dunn. “Wearables in the SARS-CoV-2 Pandemic: What Are They Good for?” Jmir Mhealth and Uhealth 8, no. 12 (December 22, 2020): e25137. https://doi.org/10.2196/25137.Full Text
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Bent, Brinnae, and Jessilyn P. Dunn. “Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring.” Journal of Clinical and Translational Science 5, no. 1 (August 25, 2020): e34. https://doi.org/10.1017/cts.2020.526.Full Text
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Bent, Brinnae, Ke Wang, Emilia Grzesiak, Chentian Jiang, Yuankai Qi, Yihang Jiang, Peter Cho, et al. “The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.” Journal of Clinical and Translational Science 5, no. 1 (July 14, 2020): e19. https://doi.org/10.1017/cts.2020.511.Full Text
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Jiang, Yihang, Yuankai Qi, Will Ke Wang, Brinnae Bent, Robert Avram, Jeffrey Olgin, and Jessilyn Dunn. “EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies.” Sensors (Basel, Switzerland) 20, no. 9 (May 9, 2020): E2700. https://doi.org/10.3390/s20092700.Full Text
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Bent, Brinnae, Benjamin A. Goldstein, Warren A. Kibbe, and Jessilyn P. Dunn. “Investigating sources of inaccuracy in wearable optical heart rate sensors.” Npj Digit Med 3, no. 1 (February 10, 2020): 18. https://doi.org/10.1038/s41746-020-0226-6.Full Text Link to Item
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Goldsack, Jennifer C., Andrea Coravos, Jessie P. Bakker, Brinnae Bent, Ariel V. Dowling, Cheryl Fitzer-Attas, Alan Godfrey, et al. “Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).” Npj Digital Medicine 3 (January 2020): 55. https://doi.org/10.1038/s41746-020-0260-4.Full Text
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Bent, Brinnae, Benjamin A. Goldstein, Warren A. Kibbe, and Jessilyn P. Dunn. “Investigating sources of inaccuracy in wearable optical heart rate sensors.” Npj Digit Med 3 (2020): 18. https://doi.org/10.1038/s41746-020-0226-6.Full Text Open Access Copy Link to Item
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Pantell, Matthew S., Rebecca J. Baer, Jacqueline M. Torres, Jennifer N. Felder, Anu Manchikanti Gomez, Brittany D. Chambers, Jessilyn Dunn, et al. “Associations between unstable housing, obstetric outcomes, and perinatal health care utilization.” American Journal of Obstetrics & Gynecology Mfm 1, no. 4 (November 2019): 100053. https://doi.org/10.1016/j.ajogmf.2019.100053.Full Text
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Witt, Daniel R., Ryan A. Kellogg, Michael P. Snyder, and Jessilyn Dunn. “Windows into human health through wearables data analytics.” Current Opinion in Biomedical Engineering 9 (March 2019): 28–46. https://doi.org/10.1016/j.cobme.2019.01.001.Full Text Open Access Copy
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Rego, Shannon, Orit Dagan-Rosenfeld, Wenyu Zhou, M Reza Sailani, Patricia Limcaoco, Elizabeth Colbert, Monika Avina, et al. “High-frequency actionable pathogenic exome variants in an average-risk cohort.” Molecular Case Studies 4, no. 6 (December 2018): a003178–a003178. https://doi.org/10.1101/mcs.a003178.Full Text
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Dunn, Jessilyn, Ryan Runge, and Michael Snyder. “Wearables and the medical revolution.” Personalized Medicine 15 (September 2018): 429–48. https://doi.org/10.2217/pme-2018-0044.Full Text Open Access Copy
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Kellogg, Ryan A., Jessilyn Dunn, and Michael P. Snyder. “Personal Omics for Precision Health.” Circulation Research 122 (April 2018): 1169–71. https://doi.org/10.1161/CIRCRESAHA.117.310909.Full Text Open Access Copy
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Li, Xiao, Jessilyn Dunn, Denis Salins, Gao Zhou, Wenyu Zhou, Sophia Miryam Schüssler-Fiorenza Rose, Dalia Perelman, et al. “Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information.” Edited by Thomas Kirkwood. Plos Biology 15 (January 2017): e2001402–e2001402. https://doi.org/10.1371/journal.pbio.2001402.Full Text Open Access Copy
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Dunn, Jessilyn, Rachel Simmons, Salim Thabet, and Hanjoong Jo. “The role of epigenetics in the endothelial cell shear stress response and atherosclerosis.” The International Journal of Biochemistry & Cell Biology 67 (October 2015): 167–76. https://doi.org/10.1016/j.biocel.2015.05.001.Full Text
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Dunn, Jessilyn, Haiwei Qiu, Soyeon Kim, Daudi Jjingo, Ryan Hoffman, Chan Woo Kim, Inhwan Jang, et al. “Flow-dependent epigenetic DNA methylation regulates endothelial gene expression and atherosclerosis.” Journal of Clinical Investigation 124 (July 2014): 3187–99. https://doi.org/10.1172/JCI74792.Full Text
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Annaluru, N., H. Muller, L. A. Mitchell, S. Ramalingam, G. Stracquadanio, S. M. Richardson, J. S. Dymond, et al. “Total Synthesis of a Functional Designer Eukaryotic Chromosome.” Science 344 (April 2014): 55–58. https://doi.org/10.1126/science.1249252.Full Text
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Tarbell, John M., Zhong-Dong Shi, Jessilyn Dunn, and Hanjoong Jo. “Fluid Mechanics, Arterial Disease, and Gene Expression.” Annual Review of Fluid Mechanics 46 (January 2014): 591–614. https://doi.org/10.1146/annurev-fluid-010313-141309.Full Text
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Dunn, Jessilyn, Sarah Gutbrod, Alanah Webb, Alina Pak, Simran K. Jandu, Anil Bhunia, Dan E. Berkowitz, and Lakshmi Santhanam. “S-Nitrosation of arginase 1 requires direct interaction with inducible nitric oxide synthase.” Molecular and Cellular Biochemistry 355 (September 2011): 83–89. https://doi.org/10.1007/s11010-011-0841-2.Full Text
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Santhanam, Lakshmi, Eric C. Tuday, Alanah K. Webb, Phillip Dowzicky, Jae Hyung Kim, Young Jun Oh, Gautam Sikka, et al. “Decreased S -Nitrosylation of Tissue Transglutaminase Contributes to Age-Related Increases in Vascular Stiffness.” Circulation Research 107 (July 2010): 117–25. https://doi.org/10.1161/CIRCRESAHA.109.215228.Full Text
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Dunn, Jessilyn P., Marios Hadjimichael, Yuriy Isparyan, Diyalo Manral, and Ryan Runge. “MoveIt! Smartphone Application for Promoting Healthy Living,” n.d., 1–1.
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Dunn, Jessilyn, Salim Thabet, and Hanjoong Jo. “Flow-Dependent Epigenetic DNA Methylation in Endothelial Gene Expression and Atherosclerosis,” n.d., 9–9.
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Yeh, Hugh, Jessilyn Dunn, Thomas Prieto, Franklin Luc, Srikanth Muppidi, Scott Delp, and Michael P. Snyder. “Consumer-grade wrist-worn PPG sensors can be used to detect differences in heart rate variability among a heterogeneous prediabetic population,” n.d., 1–1.
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Bent, Brinnae, Ida Sim, and Jessilyn P. Dunn. “Digital Medicine Community Perspectives and Challenges: Survey Study (Preprint),” n.d. https://doi.org/10.2196/preprints.24570.Full Text
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Bent, Brinnae, and Jessilyn P. Dunn. “Wearables in the SARS-CoV-2 Pandemic: What Are They Good for? (Preprint),” n.d. https://doi.org/10.2196/preprints.25137.Full Text
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Preprints
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Cho, Peter Jaeho, Jaehan Yi, Ethan Ho, Md Mobashir Hasan Shandhi, Yen Dinh, Aneesh Patil, Leatrice Martin, et al. “Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design (Preprint).” JMIR Publications Inc., n.d. https://doi.org/10.2196/preprints.29510.Full Text
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- Teaching & Mentoring
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Recent Courses
- BIOSTAT 707: Statistical Methods for Learning and Discovery 2022
- BME 290: Intermediate Topics (GE) 2022
- BME 493: Projects in Biomedical Engineering (GE) 2022
- BME 580: An Introduction to Biomedical Data Science (GE) 2022
- BME 790: Advanced Topics for Graduate Students in Biomedical Engineering 2022
- BME 791: Graduate Independent Study 2022
- BME 792: Continuation of Graduate Independent Study 2022
- BME 899: Special Readings in Biomedical Engineering 2022
- HLTHPOL 396T: Bass Connections Health Policy & Innovation Research Team 2022
- HLTHPOL 796T: Bass Connections Health Policy & Innovation Research Team 2022
- ISS 395T: Bass Connections Information, Society & Culture Research Team 2022
- ISS 795T: Bass Connections Information, Society & Culture Research Team 2022
- BIOSTAT 707: Statistical Methods for Learning and Discovery 2021
- BME 590: Special Topics in Biomedical Engineering 2021
- BME 791: Graduate Independent Study 2021
- BME 792: Continuation of Graduate Independent Study 2021
- HLTHPOL 395: Bass Connections COVID-19 Research Team 2021
- HLTHPOL 395T: Health Policy & Innovation Research Team 2021
- HLTHPOL 795: Bass Connections COVID-19 Research Team 2021
- HLTHPOL 795T: Bass Connections Health Policy & Innovation Research Team 2021
- BME 493: Projects in Biomedical Engineering (GE) 2020
- BME 494: Projects in Biomedical Engineering (GE) 2020
- BME 590: Special Topics in Biomedical Engineering 2020
- BME 791: Graduate Independent Study 2020
- BME 792: Continuation of Graduate Independent Study 2020
- EGR 393: Research Projects in Engineering 2020
- HLTHPOL 395: Bass Connections COVID-19 Research Team 2020
- HLTHPOL 795: Bass Connections COVID-19 Research Team 2020
- Scholarly, Clinical, & Service Activities
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Outreach & Engaged Scholarship
- Bass Connections Team Leader. Developing Predictive Models for COVID-19 with Wearables Data. 2021 - 2022 2021 - 2022
- Data+ Project Leader. Data+. 2021 - 2022 2021 - 2022
- Bass Connections Team Leader. Equity and Efficiency of Using Wearables Data for COVID-19 Monitoring. 2020 - 2021 2020 - 2021
- Data+ Project Leader. Data+. 2020 2020
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Service to the Profession
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