Principal Investigator

Graduate Students

Erin Bennett

I'm interested in vague language, causal reasoning, discourse relations, and sentence meaning representation.

My research interests are in operationalizing language for machine learning. This involves (1) building machines that can learn from (and teach with) language and interactive dialog, and (2) using language as a structured and compositional guide for learning.

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.

Alex Tamkin

My research focuses on unsupervised learning: how can we understand and guide systems that learn general-purpose representations of the world?

Julia White

I’m interested in how our understanding of cognitive mechanisms can be used to inform AI systems, specifically language models.

Mike Wu

My current research interests are in bayesian deep learning, sampling methods, and inference in generative models.

Lab affiliates

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.

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.

Ben Newman

I'm interested in understanding how neural models process language to build more flexible and safe NLP systems.

Alumni

Judy Fan (post-doc) -- Assistant Professor of Psychology at UC San Diego

Robert Hawkins (graduate student in Psychology) -- Post-doc at the Princeton Neuroscience Institute

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