Noah Goodman

Jan-Philipp Franken

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.

Gabriel Poesia

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.

Rose Wang

My research interests are in unsupervised learning and multiagent systems.

Ben Prystawski

I am interested in understanding how language enables humans to work together effectively. My current research focuses on indirect language use and teaching.

Kanishk Gandhi

I am interested in social cognition; how we can build machines that interact with, learn from and communicate with others.

Eric Zelikman

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.

Michael Li

I'm broadly interested in understanding large language models using tools from probabilistic machine learning.

Joy He-Yueya

My research interests are in reinforcement learning and optimal experimental design.

Steven Feng

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.

Megha Srivastava

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.

Dilip Arumugam

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.

Shyamal Buch

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.

Lauren Gillespie

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.

Joy Hsu

I’m interested in visual reasoning, and creating visual understanding models that are generalists.

Sidd Karamcheti

I'm interested in natural language processing in application to robotics, specifically looking at methods for adapting to users online, and learning through interaction.

Elisa Kreiss

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.

Ali Malik

My research interests are in probabilistic reasoning, algorithms, and building intelligent systems that help humans learn.

Dhara Yu

I’m interested in studying how evolutionary pressures shape the features of language and how language facilitates knowledge transmission, in both humans and machines.