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

My research focuses on causal reasoning, moral cognition and counterfactual thinking with the occasional dip into philosophy. I like to drink strong black coffee.
— Personal website

I’m interested in representation learning, causal inference, and theory of mind reasoning. I currently work on MARPLE: Explaining what happened through multimodal simulation. I like to drink hot chocolate.
— Personal website

My research focuses on how people construct predictive internal models of those around them. I say yes to coffee unequivocally.
— 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 leveraging behavioral experiments and computational modeling to understand how we represent the world around us, how we simulate alternative worlds, and how we use these simulations to make inferences. In my undergraduate, I studied cognitive science and mathematics. I like to drink milk.
— 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 am interested in how causal reasoning mechanisms in humans can inspire machine learning algorithms that are both more generalizable and interpretable. I am especially passionate about using new ML and AI technology for social good. I completed my BSc. at UBC studying Cognitive Systems with a focus in Computational Intelligence and Design. I like to drink coffee, maybe a bit too much.
— Personal website

I am a sophomore at Stanford looking to major in Computer Science on the AI track. I am interested in using computational models to explore causality in social settings. Outside of that, I enjoy dancing and amateur vegan baking.

I’m a dutiful questioner and an adroit researcher. I have a background in education and second language acquisition. I’m interested in how language affects social category development as well as perceived characteristics of individual social group members. I am also interested in the psychological and sociological disciplines that interact with each other and how the information I’ve learned from both perspectives are related together. So far at Stanford, I’m working on a couple of projects on causal judgements and shape bias. Ultimately, I’m planning to become a human factors researcher or UX research scientist. I love to do high intensity workouts followed by vanilla sweet cream cold brew coffee, or maybe coffee first!

I am interested in the intersection of logic, epistemology, and causality, specifically with respect to formal models of causation. I am also trying to gain more experience in experimental philosophy. I received my undergraduate degree in mathematics from UCLA. In my spare time, I enjoy exploring political documentaries, alternative metal, Sufi, and Hindustani classical music (also, watching Reels).

I’m interested in understanding how people make complex decisions through computational models. I am currently a sophomore studying Computer Science and Economics. I love all things sports and outdoors, and light-roasted black coffee.

I am an undergraduate sophomore currently studying Symbolic Systems. I’m interested in making AI more ethical and learning about different computational models that people use to solve real-world problems. Outside of that, I enjoy playing trombone and piano, and like playing basketball and frisbee with my friends.

I’m passionate with complex systems, human intellectuality, and world-building prospects. Majoring in computer science, I’m excited about AI and interdisciplinary research. Things I enjoy: poetry and guitar, hiking and dancing, and a sip of Earl Grey Tea.

I’m an undergraduate majoring in symbolic systems and philosophy. I am interested in epistemology, philosophy of mind, experimental philosophy, and learning more about how people reason. In my spare time, I enjoy knitting and writing poetry.

I am currently a PhD candidate in Nick Haber’s Autonomous Agents 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 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 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 Computer Science PhD student focusing on Artificial Intelligence. I’m interested in allowing AI systems to have causal reasoning capabilities. I received my master of science in Symbolic Systems. I like to solve puzzles in my spare time.
— Personal website

I am interested in how people interact with explainable AI agents, as well as how we can teach models to reason and explain. I am also working with Michael Bernstein’s and Ranjay Krishna’s groups. I love to eat Brazilian foods!
— Personal website

I am a PhD student in the CoCoLab. My research involves studying how pedagogical language shapes cultural transmission of knowledge and analyzing connections between large language models and probabilistic models of cognition. I like rock climbing.
— Personal website

I am an affective science PhD Student at the Stanford Psychophysiology Lab. I use a combination of behavioral experiments, experience-sampling, physiological measures, and computational modeling to understand how beliefs about emotions shape emotion regulation. When I am not in the lab, you can find me 3,000ft up in the sky, working towards my private pilot license!
— Personal website

I am a PhD Student in the Stanford Social Learning Lab. My research interests focus on the representations and motivations that guide learning and play early in life. I like to eat tacos and drink coffee.

I am a postdoctoral researcher at Stanford Vision and Learning Lab, as well as a Wu Tsai Human Performance Alliance Fellow. I work on robotics, human-robot interaction, brain-machine interface, cognitive science, and neuroscience. My research focus is human-centered artificial intelligence: Understanding human intelligence for developing biologically-inspired AI algorithms, as well as making AIs more compatible with humans.
— Personal website

• Joseph Outa (research assistant): Now PhD student at Johns Hopkins University.
• Zach Davis (postdoc): Now research scientist at Facebook Reality Labs.
• Erin Bennett (lab affiliate)
• Bryce Linford (research assistant): Now PhD student at UCLA.
• Antonia Langenhoff (research assistant): Now PhD student at UC Berkeley.