Will Gantt



I am a second-year PhD student in computer science at the University of Rochester, advised by professors Dan Gildea and Aaron White. My research interests lie primarily in natural language understanding, and my current work is focused on developing models that:

  1. Learn and represent the structure of events (in text) and the relations between them as part of the Decompositional Semantics initiative.
  2. Account for disagreements among annotators in natural language inference datasets.
Apart from being a computer scientist, I am a committed minimalist and effective altruist. In my spare time, I like to volunteer with the Rochester People's Climate Coalition.

Previously, I graduated from Bowdoin College in 2017 with a B.A. in Computer Science and subsequently worked as a software engineer at Okta in San Francisco.

Past Projects

While at Bowdoin, I completed a senior honors thesis investigating the year-over-year impact of various environmental and economic variables on global crop yields using genetics-based machine learning (GBML) techniques. You can find this work on GitHub. My thesis advisor was Clare Bates Congdon. My major advisor was Stephen Majercik.


I quite deliberately do not used social media. I can be reached via email at wgantt.iv@gmail.com.