Rachit Dubey

Rachit Dubey headshot

Email rachitd@mit.edu

Publications Google Scholar

Curriculum Vitae PDF

Here's a tribute written in the memory of my friend who got me started in research.


I am currently a postdoc at MIT Sloan Marketing working at the intersection of Computation, Psychology, and Climate Change. I received my PhD in Computer Science at Princeton University, advised by Tom Griffiths, with my dissertation receiving the 2024 SfNC dissertation award.

Previously, I graduated from Nanyang Technology University in 2012 with a bachelor's degree in Computer Science and in 2018 from UC Berkeley with a master's degree in Education.


Research Summary

As a computational behavioral scientist, my work seeks to understand human motivation and bridge the gap between knowledge and action in tackling climate change, a crisis projected to pose significant social, economic, and ecological challenges in the coming decades.

In my research, I combine computational modeling with large-scale behavioral experiments and real-world field studies to (a) better understand the human motives that drive environmentally-damaging behaviors and (b) design interventions that reduce polarization and drive action on climate change.

On this issue, I have also organized the successful Combating the Climate Crisis with Cognitive Science workshop at CogSci 2021, and collaborated with the Yellowstone Ecological Research Center and the World Resources Institute.


Representative Publications (see CV for full list of publications)

Papers on policy and climate change

AI-generated visualizations of car-free American cities

Rachit Dubey, Matthew Hardy, Thomas Griffiths, and Rahul Bhui

Nature Sustainability (2024)

Gordon Kraft-Todd*, Rachit Dubey*, Erez Yoeli, David Rand, and Syon Bhanot

Under revision

Papers on happiness and satisfaction

Zack Dulberg, Rachit Dubey, Isabel Berwian, and Jonathan Cohen

Proceedings of the National Academy of Sciences (2023)



Media: Psychology Today, Princeton News, Tech Xplore

Rachit Dubey, Tom Griffiths, and Peter Dayan

PLOS Computational Biology (2022)



Media: Vox, Phys.org, Neurologica, Deutschlandfunk, NatGeo

Featured as top post on reddit r/science!

Papers on curiosity and exploration

Rachit Dubey, Mark Ho, Hermish Mehta, and Tom Griffiths

Under revision at Nature Human Behavior

Rachit Dubey, and Tom Griffiths

Psychological Review (2020)



Featured as a spotlight article in Trends in Cognitive Science

Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, and Alexei Efros

International Conference on Machine Learning (2018)



Media: MIT Tech Review, Two minute papers, Slashdot

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