I am a final year PhD student at Stanford, where I worked with Itai Ashlagi and Al Roth and was grateful to be supported by the NSF GRFP and the Stanford Data Science Scholarship. My PhD research was on matching and market design using data science tools (ML and experimentation). I have become increasingly interested in other applications of AI in marketplaces, AI safety, and the impacts that AI will have on society.

Prior to my PhD, I graduated from Princeton with a BSE in Computer Science with a minor in Statistics & Machine Learning. During undergrad, I interned at DeepMind, Google, and Two Sigma.

You can reach me at gzguan at stanford dot edu.

Updates

• October 2025 Defended my dissertation!

• May 2025 “Insights from refusal patterns for deceased donor kidney offers” has been published in Transplantation! Market deisgn blog link

• April 2025 Gave a talk “How Data-driven Insights Can Inform National Organ Allocation Policy” at Princeton Global Health Policy (link)

• Summer 2024 I interned at Lyft on the Matching team, where I developed a matching algorithm change and designed an A/B test, resulting in a successfully shipped feature.

• 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 ✨

Other

• Stretch Reminder Chrome Extension (Beta Test Version) (1000+ daily users!)

• In my free time, you can find me weightlifting, swimming, and hiking. I also enjoy going to museums and learning about art history. I was a tour guide and student outreach chair for the Princeton University Art Museum and have written many blog posts about art.