Co-authors
20
list available
Resume (English only)
Academic Achievements
- Writing a book titled 'Child Language Acquisition in the Past: A Mechanistic View of Language Change' for Edinburgh University Press. Published papers include 'Some Innate Characteristics of Neural Network Models of Morphological Inflection' (2025) and 'Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)' (2023).
Research Experience
- Associate Scientist in the Speech, Language, and Multimedia group at Raytheon BBN Technologies from 2013 to 2015, working on defense and medical-related projects; interned with Amazon Alexa AI-Natural Language Understanding in summer 2020.
Education
- PhD in Linguistics from the University of Pennsylvania in 2020, advised by Charles Yang and Mitch Marcus; Master's degree in Computer and Information Science from the University of Pennsylvania in 2018.
Background
- Computational linguist, with research interests in computational approaches to child language acquisition and their broader implications, particularly algorithmic models of grammar acquisition, especially morphology, processes driving language variation and change, insights for low-resource NLP, and the intersection of NLP and cognitive science.
Miscellany
- Other academic interests include Chinese language varieties, computing history, evolutionary theory, formal language theory, general NLP, human geography, Indo-European historical linguistics, Latin language, paleontology and cladistics, programming languages and software engineering, Roman history and culture, Semitic languages, Shona language, Singlish and Singaporean English, and writing systems.