Research

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

Working Papers

Machine learning for deceased donor kidney allocation
Nikhil Agarwal, Itai Ashlagi, Grace Guan, Paulo Somaini, and Jiacheng Zou (alphabetical)
Preliminary version in NeurIPS 2022 Workshop on Learning from Time Series for Health (spotlight presentation).

Costs and resource utilization of approaches to identify infants with early onset sepsis
Guan G, Joshi NS, Frymoyer A, Achepohl GD, Dang R, Taylor NK, Salomon JA, Goldhaber-Fiebert JD, and DK Owens

Conference Publications

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
[paper] [code]

Journal Publications

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
[paper] [code]

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
[paper]

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
[paper] [code]

Theses

Empirical characteristics of Affordable Care Act risk transfers
Grace Guan, Mark Braverman
Princeton Computer Science Senior Thesis
Won Outstanding Computer Science Senior Thesis Prize
[paper]

Non-Archival Conference Talks and Posters

• “Higher sensitivity monitoring of reactions to COVID-19 vaccination using smartwatches”
  • SMDM Annual Meeting, Seattle, WA, 2022 [poster]
  • INFORMS Annual Meeting, Indianapolis, IN, 2022 [talk]
• “Empirical characteristics of Affordable Care Act risk transfers”
  • INFORMS Healthcare, Virtual, 2021 [talk]
  • Princeton Research Day, Princeton, NJ, 2018 [poster] [Won Princeton’s Choice Award]
• “Costs and resource utilization of approaches to identify infants with early onset sepsis”
  • The Decision Sciences for Child Health Collaborative at SMDM, Virtual, 2021 [invited talk]
  • SMDM Annual Meeting, Virtual, 2021 [poster]
  • Pediatric Hospital Medicine Conference, Virtual, 2021 [poster]
• “Early detection of COVID-19 outbreaks using human mobility data”
  • INFORMS Annual Meeting, Virtual, 2021 [talk]
  • INFORMS Healthcare Conference, Virtual, 2021 [talk]