I build human-centric language technologies, focusing on cognitively aligning human and machine thinking, advancing AI as thinking partners.
My work bridges language and cognition to develop novel algorithms, benchmarks, and interaction frameworks that support experts in complex, real-world cognitive workflows.
I design AI that augments humans: models that learn from how people plan, reason, and create; anticipate cognitive bottlenecks; scaffold difficult tasks; and adapt dynamically to expert strategies. See my research statement (
technical,
non-technical). My current research focuses on three areas:
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Cognitive scaffolding: Enhancing LLMs with human cognition data to improve planning, abstraction, and reasoning.
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Thinking Assistant for Experts: Building interactive systems for collaboration with scientists, lawyers, journalists, and educators, and benchmarking their workflows and thought processes.
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Societal alignment: Designing inclusive NLP systems that reflect pluralistic perspectives.
I am founder and co-director of
Minnesota NLP group.
For prospective students and postdocs interested in joining
Minnesota NLP,
read
this page.
Writing & Thinking
Alignment
Interaction
Cognition
Writing
(AI or/and Human) Writing, Discourse, Planning
Alignment
Societal Alignment, Diversity Modeling, Personalization
Interaction
Interactive and Collaborative AI systems
Cognition
Perception, Interpretability, Styles
Others