Topics in Artificial Intelligence: Mechanistic Interpretability

I’m a PhD candidate in Intelligent Systems at the University of Pittsburgh. My research sits at the intersection of fairness, interpretability, and causal reasoning in machine learning. I focus on bias mitigation in clinical decision-making, working with models that are not just accurate,
but also transparent in high-impact applications such as healthcare.