We advance natural language processing and machine learning toward trustworthy AI that supports human communication and collaboration — and develop intelligent systems that accelerate progress in science, education, and healthcare.
Multi-party and multi-modal dialogue systems and discourse-aware modeling.
Discourse-aware representation learning and structured prediction over language.
Large-language-model alignment and agentic systems that act and collaborate.
Grounded, multi-modal communication across speech, vision, and text.
Machine-learning models for scientific discovery across materials, chemistry, and the physical sciences.
Reliable, interpretable AI for education and healthcare contexts.
From multi-party dialogue and LLM agents to structured prediction and trustworthy deployment, our projects span the path from research models to real-world AI engines that advance science, education, and healthcare.
See our publications