
Chujun Lin, PhD
Postdoctoral Scholar in Psychology, Dartmouth College
Welcome!
I am currently a postdoctoral scholar in the Social Computation Representation And Prediction Laboratory (SCRAP Lab) at Dartmouth College, working with Prof Mark Allen Thornton. Before joining Dartmouth College, I worked with Prof Ralph Adolphs in the Emotion and Social Cognition Lab at the California Institute of Technology, where I earned my Ph.D. degree in social science in 2019.
To answer these questions, I combine computational methods (predictive modeling, deep learning algorithms), social psychology (laboratory experiments, cross-cultural studies), and real-world metrics (e.g., political corruption records, social media popularity). I apply these methods to understand impressions of others formed from a wide range of stimuli, including text descriptions, face images, naturalistic videos, and face-to-face interactions.
I am enthusiastic about open science. I have been pre-registering my studies, sharing experiment data and code on Open Science Framework.
Research
Publications
Lin, C., Keles, U., Thornton, M. A., & Adolphs, R. (accepted in principle, registered report).Trait impressions from faces shape mental state inferences. Nature Human Behaviour.
[Data & Code] [Stage 1 Protocol]
Cao, R., Lin, C., Li, X., Todorov, A., Brandmeir, N., & Wang, S. (2022). A neuronal social trait space for first impressions in the human amygdala and hippocampus. Molecular Psychiatry.
[Paper]
Cao, R., Lin, C., Brandmeir, N., & Wang, S. (2022). A human single-neuron dataset for face perception. Scientific Data.
[Paper]
Yu, H., Cao, R., Lin, C., & Wang, S. (2022). Distinct neurocognitive bases for social trait judgments of faces in autism spectrum disorder. Translational Psychiatry.
[Paper]
Keles, U., Lin, C., & Adolphs, R. (2021). A cautionary note on predicting social judgments from faces with deep neural networks. Affective Science.
[Paper] [Data & Code]
Lin, C., Keles, U., & Adolphs, R. (2021). Four dimensions characterize comprehensive trait judgments of faces. Nature Communications.
[Paper] [Data & Code] [Preregistration]
Lin, C., Keles, U., Tyszka, J. M., Gallo, M., Paul, L., & Adolphs, R. (2020). No strong evidence that social network index is associated with gray matter volume from a datadriven investigation. Cortex, 125, 307-317.
[Paper] [Data & Code] [Preregistration]
Lin, C., & Alvarez, R. M. (2020). Personality Traits Are Directly Associated with AntiBlack Prejudice in the United States. PLoS ONE.
[Paper] [Data & Code]
Lin, C., Adolphs, R., & Michael Alvarez, R. (2018). Inferring whether officials are corruptible from looking at their faces. Psychological Science, 0956797618788882.
[Paper] [Data & Code] [Preregistration]
Lin, C., Adolphs, R., & Alvarez, R. M. (2017). Cultural effects on the association between election outcomes and face-based trait inferences. PLoS ONE, 12(7), e0180837.
[Paper] [Data & Code]
Preprints and Manuscripts under Review
Lin, C. & Thornton, M. (2021). Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media. PsyArXiv.
[Preprint] [Data & Code] [Preregistration]
Lin, C. & Thornton, M. (2021). Linking inferences of traits and mental states: evidence for bidirectional causation. PsyArXiv.
[Preprint] [Data & Code] [Preregistration] [Video]
Cao, R., Wang, J., Lin, C., Todorov, A., Li, X., Brandmeir, N., & Wang, S. (2020). Feature-based encoding of face identity by single neurons in the human medial temporal lobe. bioRxiv.
[Preprint]