Brinnae Bent

Brinnae Bent is a final year doctoral candidate in the Big Ideas Lab in the Department of Biomedical Engineering at Duke University. Her thesis work is on developing digital biomarkers of glycemic health from noninvasive wearables. She is the lead developer of the Digital Biomarker Discovery Pipeline ( ) and has led projects establishing best practices for wearable sensor validation,  investigating wearable sensor device inaccuracy, optimizing sampling rate and data compression of wearable sensors, and using wearable sensors for human activity recognition. She is passionate about open-source software and has developed a number of open-source software packages, including Python packages cgmquantify and wearablevar.

For more information, please visit her personal website,, or follow her on Twitter @RunsData.

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