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 inference. My current work is focused on developing models that:

  1. Learn and represent the structure of events and the relations between them as part of the Decompositional Semantics initiative.
  2. Leverage random effects for improved natural language inference.
Invariably, my research sometimes leads me into linguistics proper. Thus, I have recently also been investigating the relationship between predicates' syntactic distribution and their tendency to license belief and desire inferences. A complete list of papers can be found on my Google Scholar page.

Apart from being a computer scientist, I am a minimalist and effective altruist. I am also an occasional volunteer with the Climate Solutions Accelerator of the Genesee-Finger Lakes Region.

Previously, I graduated from Bowdoin College in 2017 with a B.A. in Computer Science, and was advised by Stephen Majercik and Clare Bates Congdon. Subsequently, I worked as a software engineer at Okta in San Francisco.


You'll not find me on social media. I can be reached via email at wgantt.iv@gmail.com.