I study how minds read minds - and how AI changes the social rules of that reading.
MA student in General Psychology at NYU, working across Theory of Mind, NLP, affective decision-making, human-AI interaction, and computational models of social behavior.
Selected work
Theory of Mind + deception
Builds a Theory-of-Mind framework for deceptive communication as failures of mental-state inference, using courtroom testimony and online interaction data to connect intentions, beliefs, reasoning errors, and linguistic cues.
NLP + mental health
Leads a temporally grounded NLP project on Reddit language, extracting LIWC, VADER, and transformer features to model emotional volatility, agency shifts, and affective change before depression self-disclosure.
Health behavior + machine learning
Uses logistic regression and stacking ensemble models on survey data from 608 young adults to predict safe-sex behavioral intentions from digital health exposure, misconceptions, demographics, and psychometric variables.
Human-AI interaction
Designs and analyzes an IRB-approved study of how AI versus human creator labels shape perceived creativity, aesthetic value, artistic intent, and social evaluation.
LLMs + social decision-making
Leads a collaborative study comparing human and LLM helping behavior in a dynamic cooperative decision-making paradigm across partner policies and environmental contexts.
Culture + benchmark validity
Builds a quantitative coding scheme for Theory-of-Mind benchmark evaluation across GPT-4 and DeepSeek with psychological and cultural frameworks.
Memory + cognition
Designs delayed change-detection experiments to test how activated long-term memory affects visual working memory capacity, analyzing K-values and reaction time with SPSS and JASP.
Meta-analysis + environmental psychology
Conducted an umbrella meta-analysis of 42 studies under PRISMA guidelines, coding effect sizes and synthesizing psychological predictors of environmental behavior.