I am finishing my PhD this Fall and on the job market!
I am a fourth year PhD student in Computer Science at The University of Colorado, Boulder, working under the supervision of Katharina von der Wense in the NALA lab. Previously, I worked on NLP research as a research scientist at Pearson, and before that I was a researcher at the US Army Research laboratory. I have also worked as a software engineer at several companies.
Research Interests
My PhD has focused on NLP systems geared towards underrepresented languages and computational morphology. This often entails using unsupervised and semi-supervised machine learning methods, and training deep learning models on very sparse datasets. Currently, I am focused on two things:- Using reinforcement learning to align unsupervised training data with particular supervised tasks
- How better tokenization can enable multilingual LMs to perform well for underrepresented languages.
I additionally maintain open-source research software (Yoyodyne) for deep learning experiments geared towards the computational morphology and phonology communities with Kyle Gorman and Travis Bartley.
News
Sep. 2024 | New paper accepted to EMNLP 2024! Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection. This was a masters project that I designed and mentored. |
Aug. 2024 | Submitted a demo paper for our software Yoyodyne |
May. 2024 |
Started a summer machine learning scientist internship at Apple
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Jan. 2024 | Our Paper "Quantifying the Hyperparameter Sensitivity of Neural Networks for Character-level Sequence-to-Sequence Tasks" was accepted to EACL 2024! |
Dec. 2023 | I am a PhD candidate---I passed my candidacy exam and have proposed my dissertation! |
May. 2023 | Our Paper "An Investigation of Noise in Morphological Inflection" was accepted to Findings of ACL 2023. |
Oct. 2022 | New Paper "A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection" was accepted to EMNLP 2022! |
Apr. 2022 |
This summer I will be interning in the content generation group at ETS AI Labs.
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Mar. 2022 | Our paper "Morphological Processing of Low-Resource Languages: Where We Are and What's Next" was accepted to Findings of ACL 2022! See the preprint here |
Aug. 2021 | The shared task has completed. We have published a paper on the results: "Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering". |
Mar. 2021 | Were organizing a shared task on Unsupervised Morphological Paradigm Clustering. Register to participate here! |
Jan. 2021 | Starting PhD in Natural Language Processing |