Zachary Lipton, PhD
Zachary Lipton is the Chief Technologist and Scientific Officer of Abridge and a Professor on the Machine Learning faculty at Carnegie Mellon University. His research focuses include the theoretical and engineering foundations of robust and adaptive machine learning algorithms, applications to both prediction and decision-making problems in clinical medicine, natural language processing, and the impact of machine learning systems on society. A key theme in his research is to take advantage of causal structure underlying observed data, while producing algorithms that are compatible with the modern deep learning power-tools that dominate practical applications. He is the founder of the Approximately Correct blog and a co-author of Dive Into Deep Learning, an interactive open-source textbook that has reached millions of readers.