I am currently a PhD student at UW Linguistics working with the CLMBR group. I’m interested in understanding how observed linguistic universals arise from natural properties of information systems via controlled experiments. I am currently developing methodologies to better understand the ties between learnability and complexity of quantifier expressions and their distributions in natural languages. I’m also interested in supportive tools and methods for the revitalization and creation of languages.

My professional experience working as an applied NLP data scientist / engineer spans several years at USAA at the Advanced Analytics and Machine Learning team and mosaix.ai, a semantic search and voice assistant startup. I formerly worked as an Economics Fellow researching spatio-temporal accounting of ecosystem services with the U.S. Forest Service’ Research and Development branch after obtaining an M.P.P from the Batten School of Leadership and Public Policy at the University of Virginia.

News

October, 2024 - Forthcoming - Genetic Curriculum Learning for Distribution Generalization on the Travelling Salesman Problem to be presented at ATH-AI Workshop at NeurIPS’24

September, 2024 - Forthcoming at WMT24 at EMNLP: Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis

May, 2024 - Italian-Ligurian Machine Translation in its Cultural Context included in the Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024

May, 2023 - I will be joining the UW Linguistics PhD program (computational track) in the fall!

February, 2023 - Kabyle ASR Phonological Error and Network Analysis was published as a book chapter in [Analysis and Application of Natural Language and Speech Processing]

January, 2021 - Economics of invasive species book chapter published in Invasive Species in Forests and Rangelands of the United States