
About
Dan Goldwasser is an Associate Professor of Computer Science at Purdue University's Department of Computer Science (College of Science). He joined the faculty in 2014 and focuses on Artificial Intelligence, Machine Learning, and Natural Language Processing. His work emphasizes analyzing social media discourse, political communication, and integrating large language models (LLMs) into interactive systems.
Education: PhD in Computer Science from the University of Illinois (2012).
Research interests include multimodal understanding, ethical reasoning in AI, and social context modeling. Recent work explores LLMs' roles in uncovering latent arguments, cultural context grounding, and morality frame analysis in social media debates (e.g., vaccination campaigns, climate policy).
Notable projects include VIBE (visual language model analysis), EmoGist (visual emotion understanding), and frameworks for political discourse analysis. His work frequently addresses fairness, bias detection, and contextual reasoning in AI systems.
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