Research Portfolio

My research focuses on how psychological mechanisms and computer algorithims interact to shape narrative agency, internet communication, and group dynamics. I integrate a variety of methods from psychology experiments on individuals and networked groups, computational models of human behavior, AI software development, and large-scale analyses of social media. Each project card highlights the hypotheses, methods, and findings of my core research themes. A complete list of academic publications is on my Google Scholar.

Modeling Human Beliefs with LLMs

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Developed an LLM-based pipeline to extract and visualize belief systems from natural language, applied to Covid-19 vaccine tweets.

NLP Belief Modeling Semantic Clustering

Narrative Dynamics in Online Networks

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Social network experiments reveal how network structure and interaction media shape the emergence of shared narratives and language change.

Network Experiments LLM Agents Narrative Interactions

Correcting Misconceptions with Crowdsourced Narratives

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Data mined from online discussions, psychology experiments, and data visualization integrated to develop and evaluate persuasive educational interventions.

NLP Data Mining Educational Interventions

Social Media Belief Dynamics

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Data science studies on political belief and narrative dynamics on social media using data mining, NLP, and network science.

Topic Modeling Network Analysis Social Media

COVID-19 Belief Networks

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Longitudinal surveys with over 2,000 American participants show how preexisting distrust in politicians and medical science shaped COVID-19 skepticism.

Surveys Bayesian Models