Research

You can also find my articles on my Google Scholar profile.

Organ allocation

Using dynamic information to improve decision making in deceased donor kidney allocation
Grace Guan, Sanjit Neelam, Joachim Studnia, Michael A. Rees, Alvin E. Roth, Paulo Somaini, and Itai Ashlagi
Working paper

Transplant surgeons already account for inaccuracies in the Kidney Donor Profile Index (KDPI) calculation
Grace Guan, Itai Ashlagi, and Marc L. Melcher
Clinical Transplantation, 2024, 38(5): e15323

Time-constrained decision making in deceased donor kidney allocation
Nikhil Agarwal, Itai Ashlagi, Grace Guan, Paulo Somaini, and Jiacheng Zou (alphabetical)
🌟 NeurIPS 2022 Workshop on Learning from Time Series for Health (spotlight presentation).

Hospital Operations

Resource utilization and costs associated with approaches to identify infants with early onset sepsis
Grace Guan, Neha S. Joshi, Adam Frymoyer, Grace D. Achepohl, Rebecca Dang, N. Kenji Taylor, Joshua A. Salomon, Jeremy D. Goldhaber-Fiebert, and Douglas K. Owens
Medical Decision Making: Policy & Practice, 2024, 9(1)
🌟 Invited talk at the 2021 Decision Sciences for Child Health Collaborative at SMDM

Predicting sick patient volume in a pediatric outpatient setting using time series analysis
Grace Guan, Barbara Engelhardt
MLHC 2019: Proceedings of Machine Learning Research, 2019, 106: 271-287
🏆 Won 2020 NCWIT Collegiate Award Honorable Mention

Health Policy

Higher sensitivity monitoring of reactions to COVID-19 vaccination using smartwatches
Grace Guan, Merav Mofaz, Gary Qian, Tal Patalon, Erez Shmueli, Dan Yamin, and Margaret L. Brandeau
NPJ Digital Medicine, 2022, 5(1): 140

Self-reported and physiological reactions to the third BNT162b2 mRNA COVID-19 (booster) vaccine dose
Merav Mofaz, Matan Yechezkel, Grace Guan, Margaret L. Brandeau, Tal Patalon, Sivan Gazit, Dan Yamin, and Erez Shmueli
Emerging Infectious Diseases, 2022, 28(7): 1375-1383

Early detection of COVID-19 outbreaks using human mobility data
Grace Guan, Yotam Dery, Matan Yechezkel, Irad Ben-Gal, Dan Yamin, and Margaret L. Brandeau
PLoS ONE, 2021, 16(7): e0253865
🏆 Won 2022 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
🏆 Won Outstanding Computer Science Senior Thesis Prize
🏆 Won Princeton’s Choice Award at Princeton Research Day 2018