Chujun Lin
@chujunlin.bsky.social
study person perception, assistant professor at Columbia University
Reposted by Chujun Lin
The computational psych preconference is back @spspnews.bsky.social for a full day! This year's lineup:
👉theory-driven modeling: Hyowon Gweon
👉data-driven discovery: @clemensstachl.bsky.social
👉application: me
👉 panel: @steveread.bsky.social Sandra Matz, @markthornton.bsky.social Wil Cunningham
👉theory-driven modeling: Hyowon Gweon
👉data-driven discovery: @clemensstachl.bsky.social
👉application: me
👉 panel: @steveread.bsky.social Sandra Matz, @markthornton.bsky.social Wil Cunningham
September 29, 2025 at 4:57 PM
The computational psych preconference is back @spspnews.bsky.social for a full day! This year's lineup:
👉theory-driven modeling: Hyowon Gweon
👉data-driven discovery: @clemensstachl.bsky.social
👉application: me
👉 panel: @steveread.bsky.social Sandra Matz, @markthornton.bsky.social Wil Cunningham
👉theory-driven modeling: Hyowon Gweon
👉data-driven discovery: @clemensstachl.bsky.social
👉application: me
👉 panel: @steveread.bsky.social Sandra Matz, @markthornton.bsky.social Wil Cunningham
🚨New preprint with my stellar student Junsong
A Small-World Mind Theory of social cognition doi.org/10.31234/osf...
Big network, close connection🤯
It explains why low-dimensional findings dominate & high-dimensional evidence emerges
Naturalistic designs matter to understanding the complex mind
A Small-World Mind Theory of social cognition doi.org/10.31234/osf...
Big network, close connection🤯
It explains why low-dimensional findings dominate & high-dimensional evidence emerges
Naturalistic designs matter to understanding the complex mind
OSF
doi.org
September 2, 2025 at 6:16 PM
🚨New preprint with my stellar student Junsong
A Small-World Mind Theory of social cognition doi.org/10.31234/osf...
Big network, close connection🤯
It explains why low-dimensional findings dominate & high-dimensional evidence emerges
Naturalistic designs matter to understanding the complex mind
A Small-World Mind Theory of social cognition doi.org/10.31234/osf...
Big network, close connection🤯
It explains why low-dimensional findings dominate & high-dimensional evidence emerges
Naturalistic designs matter to understanding the complex mind
🚨New Theory of Emotion!! 🚨
Draft of first book chapters out for a new book by Ralph Adolphs👇
osf.io/preprints/ps...
Let Ralph know if you have any comments - thank you!! 🧠🤯 Email: [email protected]
Draft of first book chapters out for a new book by Ralph Adolphs👇
osf.io/preprints/ps...
Let Ralph know if you have any comments - thank you!! 🧠🤯 Email: [email protected]
OSF
osf.io
July 15, 2025 at 2:02 AM
🚨New Theory of Emotion!! 🚨
Draft of first book chapters out for a new book by Ralph Adolphs👇
osf.io/preprints/ps...
Let Ralph know if you have any comments - thank you!! 🧠🤯 Email: [email protected]
Draft of first book chapters out for a new book by Ralph Adolphs👇
osf.io/preprints/ps...
Let Ralph know if you have any comments - thank you!! 🧠🤯 Email: [email protected]
First paper from my lab out @commspsychol.nature.com
www.nature.com/articles/s44271-025-00275-w
Latent factor models are popular for mental representation of people, e.g. warmth & competence
But we show in naturalistic contexts, more complex representations are needed: high-dimensional networks
www.nature.com/articles/s44271-025-00275-w
Latent factor models are popular for mental representation of people, e.g. warmth & competence
But we show in naturalistic contexts, more complex representations are needed: high-dimensional networks
www.nature.com
July 8, 2025 at 1:37 AM
First paper from my lab out @commspsychol.nature.com
www.nature.com/articles/s44271-025-00275-w
Latent factor models are popular for mental representation of people, e.g. warmth & competence
But we show in naturalistic contexts, more complex representations are needed: high-dimensional networks
www.nature.com/articles/s44271-025-00275-w
Latent factor models are popular for mental representation of people, e.g. warmth & competence
But we show in naturalistic contexts, more complex representations are needed: high-dimensional networks
Check out our new work with @xallysie.bsky.social, @erichehman.bsky.social, and my student Ruoying on a tutorial for Representational Similarity Analysis! Thanks for the fun collaboration!!
We had a new tutorial on representational similarity analysis come out recently. Led by @xallysie.bsky.social with Ruoying Zheng and @chujunlin.bsky.social
This technique lets you compare patterns across diff types of measures (eg correlate correlation matrices), super flexible
This technique lets you compare patterns across diff types of measures (eg correlate correlation matrices), super flexible
July 8, 2025 at 1:02 AM
Check out our new work with @xallysie.bsky.social, @erichehman.bsky.social, and my student Ruoying on a tutorial for Representational Similarity Analysis! Thanks for the fun collaboration!!
Check out our new TiCS paper! Thanks @freemanjb.bsky.social for the fun collaboration!!
Investigating social impressions in a high-dimensional space could provide valuable insights beyond the compressed dimensions!
Investigating social impressions in a high-dimensional space could provide valuable insights beyond the compressed dimensions!
In a TiCS paper, @chujunlin.bsky.social & I propose a high-dimensional model of social impressions.
Existing models focus on 2–4 latent dimensions (e.g. trustworthy/warm), but they often fall apart across different contexts, cultures, & perceivers. We need a paradigm shift.
shorturl.at/7GD1n (1/8)
Existing models focus on 2–4 latent dimensions (e.g. trustworthy/warm), but they often fall apart across different contexts, cultures, & perceivers. We need a paradigm shift.
shorturl.at/7GD1n (1/8)
A high-dimensional model of social impressions
People form social impressions from visual cues such as faces, which are argued by
various models to arise from some limited set of fixed dimensions (e.g., trustworthiness
and dominance). We argue tha...
www.cell.com
June 18, 2025 at 11:55 PM
Check out our new TiCS paper! Thanks @freemanjb.bsky.social for the fun collaboration!!
Investigating social impressions in a high-dimensional space could provide valuable insights beyond the compressed dimensions!
Investigating social impressions in a high-dimensional space could provide valuable insights beyond the compressed dimensions!
🥳Excited to share that I am joining Columbia July 2025
@columbiauniversity.bsky.social
Looking for🚨lab managers🚨postdocs🚨grad students! Pls REPOST🙏
We study⭐️person perception⭐️social cognition using experimental, cross-cultural, & computational methods!
App👉shorturl.at/5UVPl
More👉shorturl.at/q18GM
@columbiauniversity.bsky.social
Looking for🚨lab managers🚨postdocs🚨grad students! Pls REPOST🙏
We study⭐️person perception⭐️social cognition using experimental, cross-cultural, & computational methods!
App👉shorturl.at/5UVPl
More👉shorturl.at/q18GM
May 21, 2025 at 5:18 PM
🥳Excited to share that I am joining Columbia July 2025
@columbiauniversity.bsky.social
Looking for🚨lab managers🚨postdocs🚨grad students! Pls REPOST🙏
We study⭐️person perception⭐️social cognition using experimental, cross-cultural, & computational methods!
App👉shorturl.at/5UVPl
More👉shorturl.at/q18GM
@columbiauniversity.bsky.social
Looking for🚨lab managers🚨postdocs🚨grad students! Pls REPOST🙏
We study⭐️person perception⭐️social cognition using experimental, cross-cultural, & computational methods!
App👉shorturl.at/5UVPl
More👉shorturl.at/q18GM
Reposted by Chujun Lin
We have a new paper on interpreting regional attitudes out in JPSP, led by Jennifer Suliteanu @jensulite.bsky.social
doi.org/10.1037/pspa...
This is her first paper 🫶
Few comments
doi.org/10.1037/pspa...
This is her first paper 🫶
Few comments
December 12, 2024 at 5:47 PM
We have a new paper on interpreting regional attitudes out in JPSP, led by Jennifer Suliteanu @jensulite.bsky.social
doi.org/10.1037/pspa...
This is her first paper 🫶
Few comments
doi.org/10.1037/pspa...
This is her first paper 🫶
Few comments
🚨A four-year making @naturehumbehav.bsky.social with @UmitKeles @markthornton.bsky.social @Ralph Adolphs
Across large sets of mental states, traits, situations, faces, & participants in five continents🌎
face impressions shape mental state attributions in various situations
doi.org/10.1038/s415...
Across large sets of mental states, traits, situations, faces, & participants in five continents🌎
face impressions shape mental state attributions in various situations
doi.org/10.1038/s415...
How trait impressions of faces shape subsequent mental state inferences - Nature Human Behaviour
In this Stage 2 Registered Report, Lin et al. show that trait impressions of faces are correlated with and causally influence mental state inferences from the same faces.
doi.org
December 6, 2024 at 6:00 PM
🚨A four-year making @naturehumbehav.bsky.social with @UmitKeles @markthornton.bsky.social @Ralph Adolphs
Across large sets of mental states, traits, situations, faces, & participants in five continents🌎
face impressions shape mental state attributions in various situations
doi.org/10.1038/s415...
Across large sets of mental states, traits, situations, faces, & participants in five continents🌎
face impressions shape mental state attributions in various situations
doi.org/10.1038/s415...
Reposted by Chujun Lin
My department, Psychology at UC San Diego, just posted an assistant professor position focused on computational approaches to understanding behavior. Open area search, and more information can be found here: apol-recruit.ucsd.edu/JPF04049
Assistant Professor - Computational Mechanisms of Behavior (Department of Psychology)
University of California, San Diego is hiring. Apply now!
apol-recruit.ucsd.edu
August 30, 2024 at 9:19 PM
My department, Psychology at UC San Diego, just posted an assistant professor position focused on computational approaches to understanding behavior. Open area search, and more information can be found here: apol-recruit.ucsd.edu/JPF04049
Excited to announce that the Computational Psychology Preconference is happening again (Feb 20, Denver)!
#SPSP2025
Data blitz submission opens on Sep 5th!
We will have exciting keynote speakers & panel guests! Hang tight for announcement soon!
More details at SPSP website
spsp.org/events/annua...
#SPSP2025
Data blitz submission opens on Sep 5th!
We will have exciting keynote speakers & panel guests! Hang tight for announcement soon!
More details at SPSP website
spsp.org/events/annua...
Annual Convention | SPSP
Attended by researchers, educators, and students from around the world, this event is a highlight in the scientific field of personality and social psychology.
spsp.org
August 13, 2024 at 5:52 PM
Excited to announce that the Computational Psychology Preconference is happening again (Feb 20, Denver)!
#SPSP2025
Data blitz submission opens on Sep 5th!
We will have exciting keynote speakers & panel guests! Hang tight for announcement soon!
More details at SPSP website
spsp.org/events/annua...
#SPSP2025
Data blitz submission opens on Sep 5th!
We will have exciting keynote speakers & panel guests! Hang tight for announcement soon!
More details at SPSP website
spsp.org/events/annua...
🚨New preprint with @markthornton.bsky.social on whether & how people update trait impressions of others dynamically based on naturalistic videos!
Using various computational methods, we identified the importance of voice, visual, and semantic info, and the influence of perceivers' characteristics!
Using various computational methods, we identified the importance of voice, visual, and semantic info, and the influence of perceivers' characteristics!
New preprint from @chujunlin.bsky.social & me! "Bottom-up and top-down information determinants of naturalistic trait impression updating" osf.io/preprints/ps...
#psychology #socialpsyc #PsychSciSky 🧪
#psychology #socialpsyc #PsychSciSky 🧪
February 27, 2024 at 4:32 PM
🚨New preprint with @markthornton.bsky.social on whether & how people update trait impressions of others dynamically based on naturalistic videos!
Using various computational methods, we identified the importance of voice, visual, and semantic info, and the influence of perceivers' characteristics!
Using various computational methods, we identified the importance of voice, visual, and semantic info, and the influence of perceivers' characteristics!
🚨Come join us at the Inside the Grant Panel #SPSP2024!
One of my lab's very first projects on🌟understanding the rich representation of stereotypes using naturalistic storytelling🌟has made it to the finalists!
This is an exciting project with my visiting student Yilin Wang!
One of my lab's very first projects on🌟understanding the rich representation of stereotypes using naturalistic storytelling🌟has made it to the finalists!
This is an exciting project with my visiting student Yilin Wang!
February 6, 2024 at 4:14 PM
🚨Come join us at the Inside the Grant Panel #SPSP2024!
One of my lab's very first projects on🌟understanding the rich representation of stereotypes using naturalistic storytelling🌟has made it to the finalists!
This is an exciting project with my visiting student Yilin Wang!
One of my lab's very first projects on🌟understanding the rich representation of stereotypes using naturalistic storytelling🌟has made it to the finalists!
This is an exciting project with my visiting student Yilin Wang!
🌟Are you interested in learning computational methods? Are you curious how to apply them to psychology?🌟
🚨I am sharing my workshops & codes on these topics: rb.gy/o6u6lm
Currently up: processing text & visual stimuli. More coming soon!🚨
And see you at SPSP Comp Psyc Preconference: rb.gy/5onabi
🚨I am sharing my workshops & codes on these topics: rb.gy/o6u6lm
Currently up: processing text & visual stimuli. More coming soon!🚨
And see you at SPSP Comp Psyc Preconference: rb.gy/5onabi
January 22, 2024 at 4:54 PM
🌟Are you interested in learning computational methods? Are you curious how to apply them to psychology?🌟
🚨I am sharing my workshops & codes on these topics: rb.gy/o6u6lm
Currently up: processing text & visual stimuli. More coming soon!🚨
And see you at SPSP Comp Psyc Preconference: rb.gy/5onabi
🚨I am sharing my workshops & codes on these topics: rb.gy/o6u6lm
Currently up: processing text & visual stimuli. More coming soon!🚨
And see you at SPSP Comp Psyc Preconference: rb.gy/5onabi
Are you interested in how people think about each other?
Join my lab to advance this knowledge using naturalistic designs, computational methods, and any other exciting approaches that you can think of !
PhD application deadline: Dec 6th. See shorturl.at/CU125
More about my lab: shorturl.at/pxGVW
Join my lab to advance this knowledge using naturalistic designs, computational methods, and any other exciting approaches that you can think of !
PhD application deadline: Dec 6th. See shorturl.at/CU125
More about my lab: shorturl.at/pxGVW
November 21, 2023 at 4:49 PM
Are you interested in how people think about each other?
Join my lab to advance this knowledge using naturalistic designs, computational methods, and any other exciting approaches that you can think of !
PhD application deadline: Dec 6th. See shorturl.at/CU125
More about my lab: shorturl.at/pxGVW
Join my lab to advance this knowledge using naturalistic designs, computational methods, and any other exciting approaches that you can think of !
PhD application deadline: Dec 6th. See shorturl.at/CU125
More about my lab: shorturl.at/pxGVW
Reposted by Chujun Lin
We're excited to be able to announce the keynote lineup for the #SPSP2024 computational preconference! Fiery Cushman (@fierycushman.bsky.social) will speak on computational models; Michael Muthukrishna (LSE) on data-driven discovery; & Aida Davani (Google Research) on bias in big data!
📢#SPSP2024 Update📢 The preconference submission deadline has been extended to October 25 at 11:59 PM PT. Check the links below for more details and to complete your submission!
More info: ow.ly/XXbX50PXM17
Precon Submission Form: ow.ly/z6NY50PXM18
More info: ow.ly/XXbX50PXM17
Precon Submission Form: ow.ly/z6NY50PXM18
October 17, 2023 at 4:24 PM
We're excited to be able to announce the keynote lineup for the #SPSP2024 computational preconference! Fiery Cushman (@fierycushman.bsky.social) will speak on computational models; Michael Muthukrishna (LSE) on data-driven discovery; & Aida Davani (Google Research) on bias in big data!