Senior Data Scientist
Morgan Henderson is a senior data scientist at The Hilltop Institute, where he is responsible for conducting research and quantitative analysis for a variety of projects. Morgan developed and maintains the Stata codebase for the Hilltop Pre-AH Model™ risk scores, which ingests monthly Medicare CCLF claims, creates person-month risk factors, and generates predictions of avoidable hospitalization risk. This score is vended to hundreds of primary care practices in the state of Maryland and covers several hundred thousand individuals. Additionally, Morgan has worked on projects ranging from developing financially sound rate methodologies for fee-for-service (FFS) programs; developing and implementing optimization models for use in program budgeting; managed care rate setting; and other forecasting and simulation work. In addition to his work at Hilltop, Morgan has served as an adjunct professor in the Economics Department at UMBC.
Morgan came to Hilltop from Amazon.com, Inc., where he was an economist for the customer promise team. Before that, he worked as a research assistant on the LIFE-M (Longitudinal, Intergenerational Family Electronic Micro-Database) project at the University of Michigan. LIFE-M is an initiative funded by the National Science Foundation that links historical birth, marriage, death, and Census records using machine-learning techniques. As a research assistant prior to that, Morgan assisted with the development of a summary book chapter describing the history and details of Medicaid, since published in Economics of Means-Tested Transfer Programs in the United States, Volume 1. He has co-authored several working papers and has six semesters of teaching experience at the University of Michigan as both a graduate student instructor and head graduate student instructor.
Morgan earned his PhD and MA in economics from the University of Michigan. He earned his BA in economics from Harvard University.