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Welcome to my personal site! I am an AI researcher with a passion for explainable AI (XAI) solutions - we must be able to understand how algorithmic decisions are made before such systems are adopted safely and responsibly. My PhD is from the University of Notre Dame where I defended my dissertation, Explainable AI for High-Stakes Decision-Making. Therein, I dive into how we can open the AI black box, explore intrinsically comprehensible algorithms, and shed light on poor practices in interpretability research. I care about responsibly deploying AI for the betterment of society, deepening our understanding of machine learning algorithms, and contributing to the FLOSS ecosystem.

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Check out my projects and GitHub. If you like the site and want to explore or use it yourself, view the source on GitHub.

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