🚨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

🚨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]

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

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!

🥳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

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

🚨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...

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...

🚨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!

🚨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!

🌟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

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

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!