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brinnaebent/README.md

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.

Pinned

  1. cgmquantify cgmquantify Public

    cgmquantify-python package for analyzing glucose and glucose variability

    Jupyter Notebook 23 18

  2. wearablecompute wearablecompute Public

    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.

    Python 10 3