Expertise

AI Decision-making • Ethics • Health Information Technology • Machine Learning

About

Dr. Zachary Lipton is an Assistant Professor of Business Technologies at Carnegie Mellon University’s Tepper School of Business. His research interests span both methods, applications, and social impacts of machine learning. He is especially interested in modeling temporal dynamics and sequential structure in healthcare data, e.g., Learning to Diagnose. He also works on critical questions related to how we use ML in the wild, yielding The Mythos of Model Interpretability, and more recent work on the desirability and reconcilability of various statistical interpretations of fairness.