Diana Gomez, PhD Student

I am a PhD student at the University of Michigan, specializing in the application of machine learning to healthcare and epidemiology. My research is driven by a commitment to addressing challenges at the intersection of AI, epidemiology, and equity. Under the advisement of Professor Alexander Rodriguez, I explore topics such as selection bias in agent-based models for infectious disease modeling and multimodal influenza forecasting. I have a particular interest in developing methodologies that account for biases in data and modeling, with an eye toward improving resource allocation and health outcomes for diverse populations.

Previously, I completed my masters degree at Carnegie Mellon University where I contributed to subgroup fairness research in cardiovascular disease classification. I have also worked on ethical implications of machine learning biases in dermatological cancer detection systems with SkinCheck. My work aims to improve model robustness, fairness, and applicability in real-world public health scenarios.