I currently work on reasoning (e.g., social, causal) in both humans and language models. During my PhD, I've worked on concept learning and social learning in multi-player games.
My research goal is to advance the way we interact with computers, taking inspiration from how humans communicate and collaborate. In particular, I’m interested in making computers capable of handling ambiguous inputs and specifications by leveraging prior knowledge, context and interaction.
My research interests are in unsupervised learning and multiagent systems.
I am interested in understanding how language enables humans to work together effectively. My current research focuses on indirect language use and teaching.
I am interested in social cognition; how we can build machines that interact with, learn from and communicate with others.
I am excited about how we can build models that are able to reason better by learning to model the world and leverage structural understanding, such as in multi-step planning, intermediate rationales, object-centric visual representations, or theory of mind and social reasoning.
I'm broadly interested in understanding large language models using tools from probabilistic machine learning.
My research interests are in reinforcement learning and optimal experimental design.
My research aims to enhance machine understanding and generation of human language and vision. This includes exploring methods to improve the controllability and reasoning of language and visual models, and investigating cognitive strategies to align human and machine learning.
I'm interested in developing methods for more reliable forms of human-AI interaction, particularly in domains such as education, as well as exploring how users develop "trust" in artificial agents over time.
My research is aimed at understanding the key ingredients of sample-efficient reinforcement learning. Currently, I examine how information theory might be a useful tool for facilitating this understanding, with a focus on abstractions and natural language.
I'm working on methods to better understand the structure of events in vision and language, with a particular emphasis on video applications and language grounding.
My research aims to apply cutting-edge ML technologies to climate change-related ecological problems in concert with developing better ML methods for working with complex ecological and genomic data.
I’m interested in visual reasoning, and creating visual understanding models that are generalists.
I'm interested in natural language processing in application to robotics, specifically looking at methods for adapting to users online, and learning through interaction.
I use probabilistic and neural network models to understand human language production and comprehension. In particular, I concentrate on the role context plays in this process.
My research interests are in probabilistic reasoning, algorithms, and building intelligent systems that help humans learn.
I’m interested in studying how evolutionary pressures shape the features of language and how language facilitates knowledge transmission, in both humans and machines.
Alex Tamkin (graduate student in Computer Science) -- Assistant Professor in Computer Science at UC San Diego
Jesse Mu (graduate student in Computer Science) -- Anthropic
Julia White (graduate student in Electrical Engineering) -- Samsung Research
Mike Wu (graduate student in Computer Science) -- DeFi startup
Erin Bennett (graduate student in Psychology)
Judy Fan (post-doc) -- Assistant Professor of Psychology at Stanford
Robert Hawkins (graduate student in Psychology) -- Assistant Professor of Psychology at UW-Madison
Michael Henry Tessler (graduate student in Psychology) -- Post-doc at MIT
Desmond Ong (graduate student in Psychology) -- Assistant Professor of Information Systems and Analytics at the National University of Singapore and Research Scientist at the A*STAR Artificial Intelligence Initiative (A*AI)
Judith Degen (post-doc) -- Assistant Professor of Linguistics at Stanford
Leon Bergen (post-doc) -- Assistant Professor of Linguistics at UCSD
Greg Scontras (post-doc) -- Assistant Professor of Linguistics at UC Irvine
Justine Kao (graduate student in Psychology) -- Siri Machine Learning Data Scientist at Apple
Andreas Stuhlmüller (graduate student and post-doc) -- Founder of Ought
Long Ouyang (graduate student and post-doc)
Daniel Hawthorne (graduate student in Psychology) -- Co-founder and CTO at Datawallet
Daniel Ly (post-doc) -- Senior Algorithms and Machine Learning Engineer at Seismic
Siddharth Narayanaswamy (post-doc) -- Senior Researcher at Oxford
Daniel Lassiter (post-doc) -- Assistant Professor of Linguistics at Stanford
Joseph Austerweil (post-doc) -- Assistant Professor of Psychology at Wisconsin, Madison
Thomas Icard (graduate student in Philosophy) -- Assistant Professor of Philosophy at Stanford