Donsuk Lee

I am a  PhD Candidate in Informatics and Cognitive Science at Indiana University. I am currently working with Professor Justin Wood.

My research interest lies at the intersection of artificial intelligence, developmental psychology and cognitive science. My research goal is to understand the origins and basis of intelligence. How do newborn organisms learn to perceive the world? What are the computational principles and learning algorithms in newborn brains? I attempt to address these problems by building autonomous artificial agents and comparing their learning abilities with newborn animals.

Before coming to Indiana University, I received M.S. in Computer Science from Stanford University, where I did research with Prof. Fei-Fei Li and Prof. Michael Bernstein on Computer Vision and Human-Computer Interaction. I earned my B.S. in Computer Science at Caltech.

Email: donslee [at] iu [dot] edu


Indiana University, Bloomington, IN

Ph.D. in Informatics & Cognitive Science, 2023 (expected)

University of Southern California, Los Angeles, CA

Ph.D. in Computer Science, (transferred to Indiana University)

Stanford University, Stanford, CA

M.S. in Computer Science, 2018

Caltech, Pasadena, CA

B.S. in Computer Science, 2016

Peer-Reviewed Publications

Parallel development of social preferences in fish and machines

Joshua McGraw, Donsuk Lee, Justin N. Wood

CogSci, 2023

A newborn embodied Turing test for view-invariant object recognition

Denizhan Pak, Donsuk Lee, Samantha M.W. Wood, Justin N. Wood

CogSci, 2023

Socially situated artificial intelligence enables learning from human interaction

Ranjay Krishna, Donsuk Lee, Li Fei-Fei*, Michael Bernstein* (​* = equal last authors)

PNAS, 2022 [Media Coverage: Science, TechXplore]

Controlled-rearing studies of newborn chicks and deep neural networks 

Donsuk Lee, Pranav Gujarathi, Justin N. Wood

NeurIPS SVRHM Workshop, 2021 [Oral presentation & Best Paper Award]

Modeling Object Recognition in Newborn Chicks using Deep Neural Networks 

Donsuk Lee, Denizhan Pak, Justin N. Wood

CogSci, 2021 [Oral presentation, top 22%]

Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks

Donsuk Lee, Yiming Gu, Jerrick Hoang, Micol Marchetti-Bowick

NeurIPS Workshop on Machine Learning for Autonomous Driving, 2019

Engagement Learning: Generating AI Datasets by Engaging Online Participants

Ranjay Krishna*, Donsuk Lee*, Li Fei-Fei, Michael Bernstein

UIST, 2018

Posters & Abstracts

Reverse engineering the origins of visual intelligence

Justin N. Wood, Donsuk Lee, Brian W. Wood, Samantha M. W. WoodCogSci,2020

A Machine Learning Platform for Linking Controlled Rearing to Artificial Intelligence

Donsuk Lee, Brian W. Wood, Samantha M. W. Wood, Justin N. WoodCDS, 2019


Aurora, Software Engineering Intern

2022Mountain View, CAAutonomous Driving

Uber ATG, Software Engineering Intern

2019Pittsburgh, PAAutonomous Driving

HiHello, Research Intern

2018Palo Alto, CABusiness card recognition with humans-in-the-loop

Samsung Research, Research Intern

2016Seoul, KoreaAdvanced driver-assistance systems (ADAS)

Hansol NexG, Software Engineer

2012 - 2014Seoul, KoreaNetwork security and threat management system