Abstract: Dr. Savannah Bergquist's (Harvard University, 2019) research focuses on accounting for missing not at random (MNAR) data in health contexts, specifically insurance plan payment policies and lung cancer staging from insurance claims data. In the former analyses, Dr. Bergquist's work uses missingness sensitive ML methods to examine the contribution of various current practices to problematic incentives in medicare plan payment policies, and to suggest improvement. In the latter research, Dr. Bergquist focuses on predicting a clinically meaningful lung cancer staging system using classification models. Dr. Bergquist also has examined other aspects of health insurance plan design and analysis.