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Computational Minds and Machines Lab

University of Washington

Lab Members

Max Kleiman-Weiner

Max Kleiman-Weiner

I lead the Computational Minds and Machines lab at UW. We build computational models that explain how the mind works and draw on insights from how people learn, think, and act to build smarter and more human-like artificial intelligence.

PhD Students

Claire Yang

Claire Yang

My research spans human-robot interaction, artificial intelligence, and alignment, with applications to both embodied and virtual AI systems. I am particularly interested in the key challenges in aligning agentic/robotic assistance with users' goals. This broadly encompasses learning human preferences, investigating intrinsic motivation objectives for assistive agents, and developing shared autonomy systems that balance robotic assistance with user control.

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Kunal Jha

Kunal Jha

My research broadly looks for common computational principles of (collective) intelligence and agency across human minds and machines. I investigate what learning algorithms, predictive representations, and environmental pressures give rise to the emergence of sophisticated social behaviors from chaotic systems. Specifically, I am interested in the role of time in multi-agent settings: when agents are constrained by the amount of time they have to reason, plan, and learn, how can they successfully interact in a world much more complex than their own cognition?

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Doris Yu

Doris Yu

I’m interested in how people make decisions in social environments. My research combines behavioral science with computational approaches, using reinforcement learning models to understand the cognitive processes underlying judgment and choice. I’m particularly interested in how people plan when they collaborate or compete with other, how they coordinating with teammates, predicting rivals’ moves, or navigating the complex social dynamics that shape everyday decisions.

Thomas Lily

Thomas Lily

My primary research interest lies at the intersection of quantitative marketing, social media, and machine learning, focusing on how digital creators navigate algorithmically mediated platforms. How do creators learn to make strategic decisions about content, promotion, and audience growth? I am also interested in examining how creators choose collaborators and how platform monetization strategies shape creator and audience behavior.

Hanny Guan

Hanny Guan

My research examines how consumers perceive, seek, and relinquish decision control and autonomy when making joint purchase decisions. Before joining UW, I studied social psychology at the University of Florida (B.S.) and the University of Illinois at Urbana-Champaign (M.S.). I enjoy applying psychological theories and experimental methods to address issues concerning marketing practitioners and consumers.

Master's Students

Haoran Zhao

Haoran Zhao

I am interested in social communication, pragmatics, and AI. On the human cognition side, pragmatic language use depends not only on conversational language contexts but also on the social dynamics between interlocutors. Plus we communicate not merely to convey meaning but to express intentions and achieve goals. My research tries to understand the cognitive mechanisms of how these factors shape human communication and how it interacts with other social cognitive processes, such as theory of mind. On the machine side, my research focuses on human-AI communication, specifically on how to achieve pragmatic alignment between models and humans to ensure effective communication.

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