Natalia (Natasha) Tyulina

PhD Candidate in Linguistics | Computational Linguist

Research

Current Research

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