Nice to e-meet you! I’m a 2021-2023 Computing Innovation Fellow supported by NSF. My host institution is Boston College. I received my Ph.D. in Linguistics from The University of California, Davis in Summer 2020.
In January, 2023, I’ll be joining The Department of Linguistics at The University of Florida as an Assistant Professor in Computational Language Science.
My research program studies variation in languages, machines and their intersections. I address related questions from aspects of language typology, language learning and low-resource NLP, along with a non-western mind. The general methodology that I use is a data-driven approach coupled with The #BenderRule and methods of number counting at varying degrees of carbon dioxide consumption.
Besides academic responsibilities, I proudly serve on the planning committee for Advocates for Indigenous California Language Survival, and their biennial institute Breath of Life.
My real-life interests are music, food, and simple methods, and in that order too.
Fall 2021 -
Started as a Computing Innovation Fellow.
Fall 2020 -
Started working as a postdoc in late November, mentored by Emily Tucker Prud’hommeaux. I usually spend time wandering around low-resource NLP evaluation as well as language technologies for enhancing documentation of indigenous languages. Some other times I like to think about language learning and typology.
Fall 2016 - Summer 2020
During this time, I got a PhD, advised by Kenji Sagae. My dissertation project focused on crosslinguistic modeling of word order preferences, asking what abstract constraints as well as idiosyncrasies govern language users’ structural choices from both synchronic and diachronic perspectives. Additionally, this project also tried to adapt theoretical framework of dependency syntax to develop a treebank for Hupa, an endangered Dene language of northwestern California traditionally spoken in Hoopa Valley on the lower Trinity River in present-day Humboldt County, as a way to formalize and model the syntax of indigenous languages.
During this time, I interned as a software developer at the Cognitive Computing Lab at Baidu. I worked on designing graph represetations for open-domain information extraction in English and Mandarin.
Fall 2014 - Summer 2016
During this time, I got an MA, advised by Raul Aranovich. My thesis looked at authorship attribution for short text documents.