Neuroscientist studying human beliefs & the social brain. she/her/hers. Professor of Psychiatry & Data Science@Yale
Lab: https://www.neurocpu.org/
Conference: https://www.cpconf.org/
Journal: https://cpsyjournal.org/
Xiaosi Gu
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This tour de france work would not have been possible if not for KK, who was an MD/PhD student in my lab and now a research track resident at @yaleschoolofmed.bsky.social
medicine.yale.edu/profile/kaus.... Stay tuned for more amazing work coming from him! 💯👇
And covered by @yaleschoolofmed.bsky.social
m.yale.edu/dgyx
Kaustubh Kulkarni is a psychiatry resident in the Neuroscience Research Training Program (NRTP). He earned his bachelor's in Neuroscience, with minors in
Spread the word! We are recruiting for 6 new research professors at UC Davis' California National Primate Research Center. Open rank, open area, but must leverage 🐒 resources.
recruit.ucdavis.edu/JPF07561
📢 New preprint out now!
In three samples (N=594), including a U.S.-representative cohort and a test-retest cohort, we formalize social motivation, learning, and homeostatic control within a single computational framework and identify a phenotype linked to chronic loneliness
doi.org/10.31234/osf...
University of California, Davis is hiring. Apply now!
New this year: free trainee pre-conference on July 13 organized by @cehaeffner.bsky.social @adanyajohnson.bsky.social
Pre-conference tickets are free for main conference attendees but space is limited to 75 people so register early!
www.cpconf.org/faq-cpconf20...
📣🔥 Early bird registration now open for 2026 Computational Psychiatry Conference cpconf.org at Yale July 14-16.
Late-breaking abstracts now open (deadline: May 8)
Trainee pre-conference (July 13) registration open (free!)
See you in New Haven! #CPConf2026
In a group of alcohol and cannabis users (n=132), we found that momentary craving and reward learning actively shape each other during substance-related choices.
Using computational modeling, we show that craving biases learning rates in opposite directions across groups, while expected outcomes and values simultaneously drive craving.
Model-derived parameters also predicted alcohol addiction risk—but not cannabis—highlighting potential clinical utility.