After the Algorithm: Making Machine Learning Work in Healthcare

Leonard D'Avolio, Ph.D. shares lessons learned from 15 years of experience designing, developing, and deploying machine learning-enabled systems in academic, government, philanthropic, and industrial healthcare environments. This talk is a painfully honest view of the promise and potential of machine learning in healthcare as well as the cultural, economic, and practical barriers that stand in its way. As the title suggests, Dr. D'Avolio's primary interest is preparing students, entrepreneurs, data scientists, managers, and executives for what really matters - what comes after the algorithm.

Speaker: Leonard D'Avolo, Brigham and Woman's Hospital and Harvard Medical School

Registration required.

Room N114