Thomas Langlois

Postdoctoral Researcher

Princeton University

University of California, Berkeley


I completed my Ph.D. in Thomas Griffiths’ Computational Cognitive Science Lab formerly at UC Berkeley in August of 2018. Prior to completing my Ph.D., I completed an M.S. in Computer Science (EECS), also at UC Berkeley. I am currently at Princeton University working as a visiting postdoctoral researcher in the Computational Cognitive Science Lab. My research interests center around uncovering the structure of human perceptual representations and understanding the role that biases play in perception and cognition. I use techniques from visual psychophysics, Bayesian computational modeling, and computer vision to understand these representations. My current work centers on characterizing human visual memory encoding for images and objects. I am also interested in the notion of experimentation as algorithm design, and studying how perceptual biases shape information that is transmitted across individuals. I am motivated by questions like: Can we devise experimental paradigms to obtain precise measures of perceptual representations? And what is the computational level explanation (Marr) for understanding the structure of these representations? In other words, are biased representations optimal? and what problem does a perceptual system that develops these biased representations solve and why? Finally, can we devise models of these perceptual systems, and do we observe that optimality gives rise to the same structured representations?


  • Vision science
  • Visual encoding and memory
  • Computational models of cognition
  • Interpretable A.I. and computer vision
  • Visual psychophysics


  • PhD in Psychology (Cognition), 2018

    University of California, Berkeley

  • MS in Computer Science (EECS), 2018

    University of California, Berkeley

  • BA in Psychology, Art History & Studio Art, 2008

    Georgetown University


Revealing 2D visual encoding biases

Poster presented at 18th annual meeting of the Vision Sciences Society Conference (VSS).

Uncovering 3D memory priors

Poster presented at Proceedings of the 41st Annual Conference of the Cognitive Science Society.

Recent Publications

Orthogonal multi view three dimensional object representations in memory revealed by serial reproduction

The internal representations of three dimensional objects within visual memory are only partially understood. Previous research …

Uncovering visual priors in spatial memory using serial reproduction

Visual memory can be understood as an inferential process that combines noisy information about the world with knowledge drawn from …

Effects of Implied Motion and Facing Direction on Positional Preferences in Single Object Pictures

Palmer, Gardner, and Wickens studied aesthetic preferences for pictures of single objects and found a strong inward bias: Right-facing …

Music to Color Associations of Single Line Piano Melodies in Non synesthetes

Prior research has shown that non-synesthetes’ color associations to classical orchestral music are strongly mediated by emotion. The …