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Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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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 broadly centered in XAI (Explainable AI), Adversarial AI, and AI in digital health. I like to explore ideas at the intersection of ethics, human-AI interaction, and computational concepts. Lots of work in progress :)

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  1. cgmquantify cgmquantify Public

    cgmquantify-python package for analyzing glucose and glucose variability

    Jupyter Notebook 25 19

  2. explainable-machine-learning/explainable-ml explainable-machine-learning/explainable-ml Public

    Jupyter Notebook 1

  3. explainable-machine-learning/interpretable-ml explainable-machine-learning/interpretable-ml Public

    Jupyter Notebook 1

  4. semantic-consistency-score semantic-consistency-score Public

    Semantic Consistency Score for measuring the consistency of image generation in diffusion models.

    Python 2

  5. Duke-AI-XAI Duke-AI-XAI Public

    Forked from AIPI-590-XAI/Duke-AI-XAI

    This is a repository for Duke's AI MEng course, AIPI 590, Emerging Trends in XAI

    Jupyter Notebook

  6. 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 15 3