Brinnae Bent

Bio

As a leader in bridging the gap between research and industry in machine learning, I have led projects and developed algorithms for the largest companies in the world. More importantly, I have built algorithms that have meaningful impacts - from helping people walk to noninvasively monitoring glucose.

Learn more: https://runsdata.org

Education

• B.S. North Carolina State University, 2016
• M.S. Duke University, 2018
• Ph.D. Duke University, 2021

Positions

• Executive in Residence in the Engineering Graduate and Professional Programs

Courses Taught

• AIPI 590: Advanced Topics in AI for Product Innovation
• AIPI 540: Deep Learning Applications
• AIPI 510: Sourcing Data for Analytics

Publications

• Bent B. Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation. 2024.
• Grzywinski R, D’Arcy J, Naidoff R, Shukla A, Browne A, Gibbons R, et al. Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models. 2023.
• Hammond WE, Bent B, West VL. Goodbye Electronic Health Record? Stud Health Technol Inform. 2022 Aug 31;298:107–11.
• Robison J, Gibbons R, Achelis D, Bent B, Wajda D, Webster R. Augmenting gait in a population exhibiting foot drop with adaptive functional electrical stimulation. Cold Spring Harbor Laboratory. 2022.
• Cho PJ, Yi J, Ho E, Shandhi MMH, Dinh Y, Patil A, et al. Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design. JMIR Mhealth Uhealth. 2022 Apr 8;10(4):e29510.
• Weitz A, Colucci L, Primas S, Bent B. InfiniteForm: A synthetic, minimal bias dataset for fitness applications. 2021.
• Hajduczok AG, DiJoseph KM, Bent B, Thorp AK, Mullholand JB, MacKay SA, et al. Physiologic Response to the Pfizer-BioNTech COVID-19 Vaccine Measured Using Wearable Devices: Prospective Observational Study. JMIR formative research. 2021 Aug;5(8):e28568.
• Chiang C-H, Wang C, Barth K, Rahimpour S, Trumpis M, Duraivel S, et al. Flexible, high-resolution thin-film electrodes for human and animal neural research. J Neural Eng. 2021 Jun 17;18(4).
• Bent B, Cho PJ, Henriquez M, Wittmann A, Thacker C, Feinglos M, et al. Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches. NPJ Digit Med. 2021 Jun 2;4(1):89.
• Cho PJ, Yi J, Ho E, Shandhi MMH, Dinh Y, Patil A, et al. Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design (Preprint). JMIR Publications Inc. 2021.
• Hajduczok AG, DiJoseph KM, Bent B, Thorp AK, Mullholand JB, MacKay SA, et al. Physiologic Response to the Pfizer-BioNTech COVID-19 Vaccine Measured Using Wearable Devices: Prospective Observational Study (Preprint). JMIR Publications Inc. 2021.
• Trumpis M, Chiang C-H, Orsborn AL, Bent B, Li J, Rogers JA, et al. Sufficient sampling for kriging prediction of cortical potential in rat, monkey, and human µECoG. J Neural Eng. 2021 Mar 8;18(3).
• Bent B, Enache OM, Goldstein B, Kibbe W, Dunn JP. Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'. NPJ Digit Med. 2021 Feb 26;4(1):39.
• Bent B, Henriquez M, Dunn J. cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data. 2021.
• Bent B, Sim I, Dunn JP. Digital Medicine Community Perspectives and Challenges: Survey Study. JMIR mHealth and uHealth. 2021 Feb;9(2):e24570.
• Bent B, Lu B, Kim J, Dunn JP. Biosignal Compression Toolbox for Digital Biomarker Discovery. Sensors (Basel, Switzerland). 2021 Jan;21(2):E516.
• Bent B, Henriquez M, Dunn J. 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. 2021 Jan;2:263–6.
• Bent B, Dunn JP. Wearables in the SARS-CoV-2 Pandemic: What Are They Good for? JMIR mHealth and uHealth. 2020 Dec;8(12):e25137.
• Bent B, Dunn JP. Wearables in the SARS-CoV-2 Pandemic: What Are They Good for? (Preprint). 2020 Oct 19;
• Bent B, Sim I, Dunn JP. Digital Medicine Community Perspectives and Challenges: Survey Study (Preprint). 2020 Sep 24;
• Bent B, Dunn JP. Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring. Journal of clinical and translational science. 2020 Aug;5(1):e34.
• Bent B, Wang K, Grzesiak E, Jiang C, Qi Y, Jiang Y, 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. 2020 Jul;5(1):e19.
• Jiang Y, Qi Y, Wang WK, Bent B, Avram R, Olgin J, et al. EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies. Sensors (Basel, Switzerland). 2020 May;20(9):E2700.
• Chiang C-H, Won SM, Orsborn AL, Yu KJ, Trumpis M, Bent B, et al. Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates. Science translational medicine. 2020 Apr;12(538):eaay4682.
• Goldsack JC, Coravos A, Bakker JP, Bent B, Dowling AV, Fitzer-Attas C, et al. Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs). NPJ digital medicine. 2020 Jan;3:55.
• Bent B, Goldstein BA, Kibbe WA, Dunn JP. Investigating sources of inaccuracy in wearable optical heart rate sensors. NPJ Digit Med. 2020;3:18.
• Bent B, Chiang CH, Wang C, Lad N, Kent A, Viventi J. Simultaneous Recording and Stimulation Instrumentation for Closed Loop Spinal Cord Stimulation. In: International IEEE/EMBS Conference on Neural Engineering, NER. 2019. p. 694–7.
• Woods V, Trumpis M, Bent B, Palopoli-Trojani K, Chiang C-H, Wang C, et al. Long-term recording reliability of liquid crystal polymer µECoG arrays. Journal of neural engineering. 2018 Dec;15(6):066024.
• Williams AJ, Trumpis M, Bent B, Chiang C-H, Viventi J. A Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2018 Jul;2018:5057–60.
• Bent B, Williams AJ, Bolick R, Chiang C-H, Trumpis M, Viventi J. 3D Printed Cranial Window System for Chronic μECoG Recording. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2018 Jul;2018:4591–4.

In The News

• A New Coursera Course Seeks the Knowledge, Not the Numbers, Behind AI (Oct 16, 2024 | Pratt School of Engineering)