Research
During my PhD, I worked with Itai Ashlagi and Nobel laureate Al Roth on deceased donor organ allocation (most of this work is forthcoming). I also worked on various projects in hospital operations and health policy. For a full list of my publications, please visit my Google Scholar.
Organ Allocation
Guan et al. Insights from refusal patterns for deceased donor kidney offers. Forthcoming in Transplantation.
Guan et al. Transplant surgeons already account for inaccuracies in the Kidney Donor Profile Index (KDPI) calculation. Clinical Transplantation, 2024, 38(5): e15323
Agarwal, Ashlagi, Guan et al. (alphabetical) Time-constrained decision making in deceased donor kidney allocation
π NeurIPS 2022 Workshop on Learning from Time Series for Health (spotlight presentation)
Hospital Operations and Health Policy
Dupenloup, Guan et al. Assessing the financial sustainability of a virtual clinic providing comprehensive diabetes care. Forthcoming in Journal of Diabetes Science and Technology.
Guan et al. Resource utilization and costs associated with approaches to identify infants with early onset sepsis. Medical Decision Making: Policy & Practice, 2024, 9(1)
π Invited talk at the 2021 Decision Sciences for Child Health Collaborative at SMDM
Guan et al. Higher sensitivity monitoring of reactions to COVID-19 vaccination using smartwatches. NPJ Digital Medicine, 2022, 5(1): 140
Mofaz, Yechezkel, Guan et al. Self-reported and physiological reactions to the third BNT162b2 mRNA COVID-19 (booster) vaccine dose. Emerging Infectious Diseases, 2022, 28(7): 1375-1383
Guan et al. Early detection of COVID-19 outbreaks using human mobility data. PLoS ONE, 2021, 16(7): e0253865
π Won 2022 NCWIT Collegiate Award Honorable Mention
Guan and Engelhardt. Predicting sick patient volume in a pediatric outpatient setting using time series analysis. MLHC 2019: Proceedings of Machine Learning Research, 2019, 106: 271-287
π Won 2020 NCWIT Collegiate Award Honorable Mention
Theses
Empirical characteristics of Affordable Care Act risk transfers
Grace Guan, advised by Mark Braverman
Princeton Computer Science Senior Thesis
π Won Outstanding Computer Science Senior Thesis Prize
π Won Princetonβs Choice Award at Princeton Research Day 2018