Hire Jack G. - AI Engineer - New York

* Postdoctoral Research Fellow at Mass General Brigham and Harvard Medical School * Advancing AI alignment in healthcare through: * Evaluating how medical knowledge is encoded in large language models * Developing robust frameworks for evaluating AI systems in diverse clinical scenarios * Creating new benchmarks for medical AI transportability and generalization

As a postdoctoral researcher at MIT's Laboratory for Computational Physiology under the guidance of Dr. Leo Celi, my work focuses on the intersection of causality, explainability, and interpretability in healthcare AI. I am deeply involved in developing and refining models that not only make accurate predictions but also offer actionable insights into health equity and bias. The overarching goal of our research is to create data-driven solutions that are both technically sound and ethically responsible, aiming to narrow health disparities and improve patient outcomes across diverse populations.