Assistant Professor

Shickel’s research focuses on applications of artificial intelligence and deep learning for enhanced clinical decision support using electronic health records data. He is interested in unifying patient data of multiple modalities for more comprehensive and personalized health representations, and in the human element of clinical AI, including explainability, fairness, causality, and hybrid systems integrating expert knowledge with data-driven methods.