I’m a first year Ph.D. student at the Department of Logic and Philosophy of Science at UC Irvine.
I’m interested in understanding communication and information processing, in individuals and communities, for both natural and artificial agents. I hope to draw on frameworks from linguistics, machine learning and philosophy to
- address scientific questions about language and cognition
- make progress towards safe artificial intelligence
- assist knowledge workers (e.g., journalists, teachers, scholars)
To this end, some of the questions I’m interested in include:
- What cognitive and cultural pressures shape human languages?
- Can these pressures help us guide artificial agents towards optimal and safe communication?
- How do the dynamics of information processing shape scientific inquiry?
- Can we harness these facts to build technology that helps people do research efficiently?
Below is my CV.
- B.A. in Philosophy, University of California, San Diego, 2020
- M.S. in Computational Linguistics, University of Washington, 2022
- Ph.D in Logic and Philosophy of Science, University of California, Irvine, 2028 (expected)
Guo, Q. Imel, N., and Steinert-Threlkeld, S. (2022). "A database for modal semantic typology." Proceedings of the 4th Workshop on Computational Typology and Multilingual NLP (SIGTYP 2022). pp 42-51.
Steinert-Threlkeld, S., Imel, N., and Guo, Q. " A semantic universal for modality." Semantics and Pragmatics . (under revision).
Imel, N. and Steinert-Threlkeld, S. (2022). "Modal semantic universals optimize the simplicity/informativeness tradeoff." Proceedings of Semantics and Linguistic Theory 32.
- Modals in natural language optimize the simplicity/informativeness trade-off
- Experiments in Linguistic Meaning - May 18, 2022 (Philadelphia)
- Semantics and Linguistic Theory - June 8, 2022 (Mexico City)
Works in Progress
- Approximating rate-distortion functions in signaling games
- The Artificial Language Toolkit (ALTK)
- Software library for research in computational semantics (code).
- North American Summer School for Logic, Language and Information NASSLLI Student Grant 2022
- Accepted to Lisbon Machine Learning Summer School LxMLS 2021
- Accepted to Carnegie Mellon University Summer School in Logic and Formal Epistemology LFE 2021
- Best paper “Desire Semantics”, selected for UC San Diego undergraduate philosophy journal Intuitions 2020
- Summer 2021: NLP Research Intern
- Posh Technologies
- Duties: machine learning research and dataset curation for conversational AI.