… and how we do it
Some of the questions that guide our research:
In our research, we formalize people’s mental models as computational models that yield quantitative predictions about a wide range of situations. To test these predictions, we use a combination of large-scale online experiments, interactive experiments in the lab, and eye-tracking experiments.
You can find out more about what we do, what we value, and how to join us here.
… who are doing the work
I am interested in how people hold others responsible, how these judgments are grounded in causal representations of the world, and supported by counterfactual simulations. I also like to drink tea.Personal website
I am interested in how people learn complex causal relationships, and how they use that causal knowledge to achieve their goals. I did not like eating durian ice cream.Personal website
I did my undergraduate study in philosophy and my graduate study in computer science. I’m interested in work that integrates the methods and questions of these disciplines to understand the mind. I like to drink water.Personal website
My research is mainly focused on how a teleological view of causation features in our view of composition, persistence and essence. Here is a picture of me thinking about the essence of pizza and wondering whether nacho pizza is a kind of pizza.Personal website
I’m interested in computational models of social cognition, including aspects of social learning, inference, and judgment. I received undergraduate degrees in brain/cognitive sciences and applied math. I like to drink boba.Personal website
I am interested in understanding human learning and I am excited about building machines that can think like human beings. I did my undergraduate studies in CS and math, and have worked on some research and applications in ML. I love backpacking!
I am interested in how people gain information about the physical and social world, the degree of accuracy and bias of this information, and how it is used to make decisions. Currently I am exploring collaborative projects involving motivated causal reasoning, early development of theory of mind, and cross-cultural differences in early abstract reasoning. I am working jointly with Dr. Hyowon Gweon’s Social Learning Lab and Dr. Michael Frank’s Language and Cognition Lab at Stanford. I enjoy rice bowls, bagels and spicy masala chai!
I am currently a research coordinator at the Social Learning Lab. I double-majored in cognitive neuroscience and computer sciences from Minerva School. I am interested in how causal representations form our understandings in both the physical world and the social world. In my spare time, I enjoy learning electronics and observing squirrels.Personal website
I’m a junior at Stanford majoring in symbolic systems. I’m interested in understanding cognition through computational models. Outside of this I enjoy playing viola and taking care of my fish and corals!
I did my undergraduate in physics and mathematics. I am interested in computational models of causal reasoning, and how they support intuitive physical predictions. I am also interested in cognitive biases that shape how we perceive real physical world. I like to play and watch soccer.Personal website
I’m a Linguistics PhD student and member of the ALPS lab. I’m interested in cognitive and computational approaches towards understanding language production and comprehension. I received my undergraduate degree in Cognitive Science. I also like to eat cake.
I’m a PhD student in the PDP lab. My research is on computational cognitive modeling, that is, identifying psychological constructs and understanding their mechanisms through computer models such as neural networks. In particular, I am interested in logical and mathematical reasoning which are essential cognitive faculties for inference, problem solving, and decision making.
I’m a PhD student focusing on theoretical neuroscience and neuroengineering. I’m interested in developing foundational theory for neural interfacing. Consequently, I am broadly interested in topics related to network causal inference. I’m also always on the lookout for good vegan cheesecake.
I study how people learn and use structural knowledge, from both neural and cognitive perspectives. I like to stay hydrated.Personal website
Some of the people we work with