Review for NeurIPS paper: OrganITE: Optimal transplant donor organ offering using an individual treatment effect

This work considers estimating individual treatment effect (ITE) of organ donations --- with respect to scarcity and quality of match for an organ --- in order to maximize mean life expectancy of a population. Common approaches typically include first-come first-serve, local best patient matching, or most acute. Reviewers were uniformly interested in this application area, and the relative potential of machine learning to improve our collective ability to facilitate organ donations. Additionally, the paper overall is well written and reasoned. I would greatly encourage the authors to take into account feedback from the reviewers.