Jordan Cahoon

Google Scholar [last name] at stanford dot edu

I'm a PhD student in the Department of Biomedical Data Science at Stanford University where I am advised by Emily Alsentzer and Stephen Montgomery. My research focuses on developing AI to advance the diagnosis and treatment of genetic diseases, particularly rare diseases. Before coming to Stanford, I earned a Bachelor of Science in computer science with a minor in quantitative and computational biology from the University of Southern California. I've had the privilege to work with amazing mentors including Charleston Chiang, Luis Garcia, Iain Mathieson, and Sara Mathieson. In my free time, I love bullet journaling, playing with my cat, baking bread, and hiking!

Jordan Cahoon

News

Mar 2026
TRACE is released

My first PhD preprint, Clinical Note Bloat Reduction for Efficient LLM Use, is now available! TRACE is a method for removing note bloat for efficient LLM inference.

Aug 2025
Awarded the Warren Alpert Fellowship

Excited to join the most recent cohort of the Warren Alpert Computational Biology & Artificial Intelligence Fellowship, which will help support my PhD!

Sep 2024
Started PhD at Stanford University

Began PhD studies in the Department of Biomedical Data Science, advised by Emily Alsentzer and Stephen Montgomery.