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Brinnae Bent | @RunsData

I am currently a faculty member in Artificial Intelligence at Duke University, an AI/ML research scientist, and a startup advisor.

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.

My current research interests are in XAI (Explainable AI) and AI in digital health.

RunsData's Projects

aipi540-deep-learning-applications icon aipi540-deep-learning-applications

This repo contains demo code notebooks accompanying the AIPI 540: Deep Learning Applications course in Duke University's Master of Engineering in AI for Product Innovation program

cgmquantify icon cgmquantify

cgmquantify-python package for analyzing glucose and glucose variability

dbdp icon dbdp

Digital Biomarker Discovery Pipeline

strava_in_r icon strava_in_r

In progress Running Analysis from the Strava API in R

wearablecompute icon wearablecompute

wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.

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