Profiles

Much of Dr. Cash's research focuses on one core question: Do decision makers know why they make the decisions that they do? In his postdoctoral research, he plans to apply the KoW paradigm to healthcare settings to investigate patient knowledge of their medical preferences. He also investigates the metacognitive capacities of Large Language Models (LLMs), like ChatGPT and Claude. He will be merging these two lines of inquiry by studying whether LLMs can be programmed to act as reflective conversational partners that can help decision makers better understand their own decision processes. 

Dr. Lapidow's research examines how children (and adults) learn and reason about causal systems and how learners make decisions during exploration.

Dr. Li's research program bridges computational social sciences and management. His long-term objective is to pursue big data-driven, computationally intensive theory construction. At the University of Waterloo, his postdoctoral research will investigate trying circumstances in life and coping strategies from large-scale, cross-cultural/lingual survey data. 

Dr. McCarron is interested in second language (L2) acquisition, and the role of implicit learning through print exposure (i.e. lifelong reading experience). With Dr. Hart, he is studying the genetics of reading disability using large-scale, longitudinal twin datasets. He is currently look at gender differences in access to language intervention services in schools. This project will determine to what extent this difference in access is driven by true gender differences in language ability, as opposed to structural barriers and stereotypes which may prevent girls from being identified as early or as often as boys. 

As a clinical psychologist and neuropsychologist (licensed in Israel) with training in neuroscience, Dr. Paz is deeply interested in how early experiences and memories shape the brain, biological processes, personality, and subjective experience.