About Me

I am a second-year PhD student in the UT Austin Computational Linguistics Group. I am fortunate to be advised by Kyle Mahowald. I work on interpretability, with a focus on what the study of language model internals can tell us more broadly about language and cognition.

Previously, I graduated from Cornell University Summa Cum Laude, with degrees in Computer Science, Mathematics, and Computational Cognitive Science (the latter through the College Scholar Program). During my undergraduate studies, I was fortunate enough to work with Dr. Morten H. Christiansen and Dr. Eugene Vinitsky utilizing Multi-Agent Reinforcement Learning to study idiolects in human language. I have also spent time at NASA’s Jet Propulsion Laboratories working on Retrieval-Augmented Generation (RAG) systems.

Education

  • BA in Computer Science, Mathematics, Computational Cognitive Science, Cornell University, 2020 - 2024
  • PhD in Computational Linguistics, Minor in Computer Science, University of Texas at Austin, 2024 - 2029

Selected Papers

  1. Sasha Boguraev, Christopher Potts, Kyle Mahowald. Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions ArXiv Preprint.
  2. Sasha Boguraev, Ben Lipkin, Leonie Weissweiler, Kyle Mahowald. Models Can and Should Embrace the Communicative Nature of Human-Generated Math. 4th MATH-AI Workshop at NeurIPS’24.
  3. Sasha Boguraev, What Do You Mean by That? - Idiolects, Casual Miscommunication, and the Evolutionary Fitness of Languages, Undergraduate Honors Thesis, 2024.

News

  • August 2024 - Started PhD at UT Austin
  • May 2024 - Graduated Cornell!
  • May 2024 - Defended Undergraduate Thesis, What Do You Mean by That? - Idiolects, Casual Miscommunication, and the Evolutionary Fitness of Languages, awarded Summa Cum Laude Honors.

In the Media

  • I was named one of the Cornell Arts and Sciences Extraordinary Seniors, and had a brief profile written on my time at Cornell.