aspects of split liver transplantation, including ethics, learning, and decisions support to determine optimal splitting policy, in collaboration with University of California, San Francisco transplant surgeons. His research on geographic disparity, gender inequity and video nudge were discussed at the National Academies of Sciences, Engineering, and Medicine Committee on "A Fairer and More Equitable, Cost-Effective, and Transparent System of Donor Organ Procurement, Allocation, and Distribution." Tayur supports finding other innovative methods to increase organ donation and supports the need for clarification to be able to conduct further research. Tayur has engaged other researchers, transplant surgeons, and policy bodies, as well as students, by serving on the organizing committee of the 2016 Johns Hopkins Symposium on Healthcare Operations, with a theme of "When Organ Transplantation meets Operations Research," and by speaking on "Effective and Innovative Solutions to Increase Organ Donation" at the Harvard Effective Altruist Chapter. Tayur has studied personalized treatment for opioid use disorder, specifically, the efficacy of using wearables to prevent relapse. In collaboration with the University of Pittsburgh Medical Center, Tayur developed machine learning algorithms to predict hospital re-admissions due to sickle-cell disease. In addition to his applied work, Tayur has adopted a strategic queueing approach to investigate (1) physicians' diagnostic test-ordering behavior in outpatient settings and (2) the effect of multi-listing—powered by affordable jet services (OrganJet)—on U.S. organ transplantation candidates' life expectancy and organ wastage. Tayur has also analyzed combinatorial models (using quantum- and quantum-inspired algorithms) and conducted topological data analysis (using algebraic topology) to study cancer genomics, using data on acute myeloid leukemia and Glioblastoma Multiforme from The Cancer Genome Atlas. Tayur has explored improved data-driven methods towards making Liquid Biopsy practical. New Business Models. Tayur's research has analyzed new business models such as scheduling of fractional jets, online rental models, online to offline (O2O) platforms, dynamic scheduling of advertisements in video games, and an entrepreneurial approach to the widespread adoption of multiple listing for organ transplantation. Books Tayur's co-edited volume, Quantitative Models for Supply Chain Management (Springer,1999), is among the most popular reference books on supply chain modeling. Another, Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations (John Wiley & Sons, 2018), covers a wide scope of contemporary topics and provides timely access to modern analytical tools; the handbook is an "important volume" that "represents some of the brightest minds in analytics research, as well as physicians and senior