Research Interests

My research interests span a diverse set of topics in cognitive science such as episodic and semantic memory, dynamic decision making, and causal reasoning. In each of these areas, I combine mathematical and computational modeling with behavioral experiments. The models and experiments are tightly coupled: I try to formulate empirical questions with the goals of constraining, developing, or testing between alternative computational models of how people learn, process, and represent information. My research interests also include some computer science topics in the domain of statistical machine learning and information retrieval. The adoption of recent machine learning methodology is useful in advancing cognitive science research, especially in the area of semantic memory.

In our MadLab laboratory, we apply formal modeling techniques to better understand the underlying processes when people make decisions and retrieve information from memory.