We are a brand-new lab sitting at the intersection of cognitive science, artificial intelligence, and linguistics. The goal of our research is to understand how language works in minds and machines. What representations and algorithms support language learning, comprehension, and production? How does language interact with other forms of knowledge and reasoning? And how can our understanding of human cognition help us develop better systems of artificial intelligence? Our work approaches these questions using many methods, including computational modeling, machine learning, and behavioral experiments.

For more details about our research, please take a look at our recent Publications.

Here is a sample of topics that we are currently interested in:

• Machine psychology: How can we develop a scientific framework for understanding the capabilities and limitations of AI systems, especially large language models?
• Pragmatics and social intelligence: How do humans reason about other agents to understand and use language? How does communication relate to social intelligence and theory of mind?
• Language processing: How do humans understand language so flexibly and efficiently? And how does this happen given information across multiple modalities?