Hi, I'm Nathan.
 

I’m a first-year Ph.D. student in (Computational) Linguistics at Stanford University interested in how human language and cognition is reflected in digital models. My previous affiliations include the DTAL @ Cambridge and the CPLS lab @ UCSB. I’m always open to collaborating!

🥳@stanford.edu (🥳=nroll) nrol_ling Nathan-Roll1 Google Scholar CV

Featured Projects
Uncovering patterns in extremist communities by generating a network graph.
Vocalic Latent Space Induction
Created an autoencoder latent vowel space using reconstruction and categorical crossentropy loss.
Fluency Detection from Prosody
Dissecting the connection between intonation unit patterns and overall speaker fluency.
Virus Classifier
Used patterns in DNA and RNA ORFS identify the baltimore classification of novel viruses.
Playing with quantization, knowledge distillation, and pruning techniques to reduce LLM model size.
Decoding part-of-speech patterns in the enigmatic Yukaghir language.

Education

2024-Now Stanford University
Ph.D. in Linguistics
VPGE/EDGE Fellow
2020-2023 UC Santa Barbara
B.A. in Economics & Linguistics
Data Science Capstone
Thesis: An Integrated Approach to Prosodic Boundary Detection in Untranscribed Speech via Lexico-Syntactic Knowledge Transfer
2022 University of Cambridge (DTAL)
Independent Supervision
Project: A Deep Learning Approach to Automatic Prosodic Segmentation in Untranscribed Discourse

What I'm up to...

➡️ PhD @ Stanford 🎉 Sept. 2024
📝 Reviewer for CoNLL 2024 and JAMIA-Open Aug. 2024
📄 Progressive Fine-Tuning @ SemEval/NAACL 2024 June 2024
✅ AI study @ Ranch Ehrlo Society - how environment impacts youth outcomes Mar. 2024
📜 ASR bias paper (Yes… there’s bias!) in JASA-EL with Calbert Graham Feb. 2024
📄 PSST! @ CoNLL 2023 with Calbert Graham and Simon Todd Dec. 2023
📢 @ Cambridge Lang. Sci. Annual Symposium Nov. 2023