I am a third year PhD student in Management Science and Engineering at Stanford, working with Margaret Brandeau and Itai Ashlagi. I am grateful to be funded by the NSF GRFP and the Stanford Technology & Racial Equity Graduate Fellowship (2022-2023). Since 2021, I have been a student co-organizer of the Research on Algorithms and Incentives in Networks (RAIN) seminar.
In 2020, I graduated from Princeton with a BS in Computer Science with minors in Global Health & Health Policy and Statistics & Machine Learning, where I was fortunate to work with Mark Braverman and Barbara Engelhardt. I formerly interned at Columbia Business School, DeepMind Health, Google, and Two Sigma.
In my free time, you can find me running, swimming, and hiking.
You can reach me at gzguan at stanford dot edu.
[October 2022] In December, I will be presenting part of our machine learning for deceased donor kidney allocation project at NeurIPS 2022 Workshop on Learning from Time Series for Health as a spotlight presentation ✨
[September 2022] Our paper has been published in npj Digital Medicine! I will be presenting this paper at INFORMS 2022 and SMDM 2022 in October.
[August 2022] Excited to be a Stanford Technology & Racial Equity Graduate Fellow next year!
[July 2022] Our paper has been published in Emerging Infectious Diseases (the journal of the CDC)!
[April 2022] Selected as NCWIT Collegiate Award Honorable Mention!