About Me

Hi! My name is Eunice Yiu. I am a postdoctoral scholar at UC Berkeley. I am affiliated with the Department of Psychology and Berkeley AI Research Lab.

I study how humans and AI systems build, generalize, and update models of the world, and what happens when those systems interact at scale with real people. My work combines behavioral experiments with controlled model evaluation to probe causal reasoning, interactive learning, and generalization in both humans and large multimodal models. I am increasingly focused on the societal consequences of deployed AI: how interaction patterns shape learning outcomes, how values get encoded and evolve through continuous human-AI interaction, and how to evaluate reasoning beyond surface outputs.

Active projects include: fine-tuning VLMs via iterative feedback loops in simulated environments to study how models acquire causal tool use compared to human developmental patterns (Google-BAIR); causal learning and active exploration in humans and LLMs (with Mila); effects of AI on human cognitive and behavioral health (with Brown ARIA).

News

Jan 2026	Keynote Speaker at the Foundations of Agentic Systems Theory Workshop, AAAI, Singapore
Mar 2026	Visiting Princeton Natural and Artificial Minds Institute as a Diverse Intelligences Fellow
Apr 2026	Co-organizing Towards a Unified Account of Motivation in Development, workshop at Cognitive Development Society Conference
May 2026	Guest on the AI Capabilities and Alignment Consensus Project Podcast
Jun 2026	Co-organizing Humans of Generative AI workshop at CVPR
Summer 2026	Co-organizing AI, Psychology and Neuroscience Summer Cluster at Simons Institute for the Theory of Computing