JOHN GUTTAG is the Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT. He leads MIT’s Computer Science and Artificial Intelligence Laboratory’s Clinical and Applied Machine Learning Group. The group develops and applies advanced machine learning and computer vision techniques to a variety of problems. He has published this research in the most prestigious machine learning, general AI, and computer vision venues—as well as in medically-oriented conferences and journals. Professor Guttag has also done research, published, and lectured in the areas of sports analytics, financial analytics, software defined radios, software engineering, mechanical theorem proving, and hardware verification. His former students have risen to positions of prominence and made important contributions to academia, industry, and government. From January of 1999 through August of 2004, Professor Guttag served as Head of MIT’s Electrical Engineering and Computer Science Department. He served as Associate Department Head from Computer Science from 1993 to 1998. In recent years, Professor Guttag’s classroom teaching has centered around helping students learn to apply computational modes of thought to frame problems and to guide the process of extracting useful information from data. His online courses on this topic have been taken by over two million students. In addition to his academic activities, Professor Guttag has extensive industrial experience. He has served on the board of directors of three public and three private companies. He is presently Chief Technical Officer and Board Chair of Health at Scale Technologies. The company’s machine intelligence platform for care prediction is used by payers, providers, and employers to help manage care for tens of millions of individuals. He is also on the Board of Directors of Frontiir, the largest ISP in Myanmar. Professor Guttag is a Fellow of the ACM and a member of the American Academy of Arts and Sciences.