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).
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.
Updates
[July 2023] Excited to present part of our machine learning for deceased donor kidney allocation project at INFORMS Healthcare in July and INFORMS Annual Meeting in October
[June 2023] Thrilled to chair a session on organ allocation modeling and policy at INFORMS Healthcare in July
[December 2022] Presented 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 ✨
[October 2022] Presented “Higher sensitivity monitoring of reactions to COVID-19 vaccination using smartwatches” at INFORMS 2022 and SMDM 2022 in October!
[August 2022] Excited to be a Stanford Technology & Racial Equity Graduate Fellow next year!
Other Projects
- Stretch Reminder Chrome Extension (Beta Test Version) (750+ daily users!)