Operationalize Reliability and Trustworthy AI in Health and Medicine

Shalmali Joshi is an Assistant Professor of Biomedical Informatics at CUIMC, affiliated with Computer Science and a DSI Member. Her research vision is to develop Machine Learning (ML)/Artificial Intelligence (AI) methods that are reliable, safe and equitable for Healthcare and Medicine. Her work has been published in ML conferences (NeurIPS, ICML, AAAI, FAccT) as well as medical journals including Nature Medicine, Lancet Digital, Cell Patterns, among others. She has served as the Program Chair of Machine Learning for Healthcare Conference and is the Section Editor for PLOS Digital Health.