sws371 [at] nyu.edu / CV
I'm a PhD candidate in the NYU Department of Philosophy. I teach philosophy of AI at Barnard College, and I did my undergrad studies at Carleton College.
I work on theoretical questions about computation and representation, both biological and artificial. Mostly, I study what gives representations their structure, and what this means for their role in computation.
Language Models and Philosophy
Barnard College, Fall '26
Philosophy of Artificial Intelligence
Barnard College, Fall '25
Logic
NYU, Fall '25, Spring '27
Minds and Machines
NYU, Summer '25
Philosophical Applications of Cognitive Science
NYU, Summer '22
Global Ethics (TA)
Instructor: Kwame Anthony Appiah, Spring '23
Philosophy of Language (TA)
Instructor: Matt Mandelkern, Fall '22
Philosophy of Mind (TA)
Instructor: Verónica Gómez Sánchez, Spring '22
Philosophical Applications of Cog Sci (TA)
Instructor: Michael Strevens, Fall '21
My dissertation committee is Michael Strevens, Ned Block, and David Chalmers.
Papers I'm working on:
"How to See Things"
Develops a computational account of what it is to visually represent objects, drawing heavily on empirical work.
[paper under review]
Criticizes recent accounts of the iconic/analog/symbolic. Proposes a fix.
"A Theory of Computational Structure"
Gives a theory of the space of structures of computational vehicles and their implementation conditions. Uses case studies from neural networks and brains.