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.
Check out my projects and GitHub. If you like the site and want to explore or use it yourself, view the source on GitHub.
Please don't hesitate to contact me!