Research
Current Research
PhD Dissertation: Modeling Regularity and Irregularity in Grammar
The Graduate Center, CUNY
My dissertation investigates how speakers learn, represent, and extend grammatical patterns that mix regularity and exceptionality, with a focus on Slavic vowel-zero alternations (yers) and broader typological parallels.
- Cognitive: combines child-language elicitation and corpus evidence to test how learners generalize alternations and handle exceptions.
- Historical: traces diachronic pathways of sound change and analogical leveling across Slavic and beyond.
- Computational: builds predictive models (e.g., paradigm completion / seq-to-seq) to quantify regularities and compare against human data.
Research Assistant
NSF AI Institute for Artificial and Natural Intelligence (ARNI)
I study multimodal trust perception, how people judge trustworthiness based on facial, vocal, and linguistic cues. My work combines machine learning with behavioral data to explore how humans and models interpret audiovisual input.
Prior Research
Research Analyst
The Graduate Center, City University of New York
At CUNY’s Office of Institutional Research and Effectiveness, I used programming, natural language processing, and behavioral research methods to analyze graduate education data and provide insights for institutional leadership.
Research Assistant
PSC-CUNY Research Award Program
My project focused on multi-source grapheme-to-phoneme (G2P) conversion across low-resource languages, combining phonological theory with machine learning methods to support cross-linguistic modeling and pronunciation prediction.
Other Research Interests
- Phonological variation and acquisition in Russian
- Computational modeling of pragmatics and implicature