Xiaosi Gu

Honored to receive this award from @srndna.bsky.social and excited to collaborate with @maruofan.bsky.social!

Delighted to be collaborating with @xiaosigu.bsky.social with support from @srndna.bsky.social 🎉

Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale The rapidly evolving field of computational psychiatry enables quantification of specific cognitive processes, and their underlying mechanisms, in a translational and potentially scalable manner, usin...

Excited to share our latest paper in which we discuss merging theory-and data- driven computational psychiatry in a large transdiagnostic cohort study (N=2400)

www.biologicalpsychiatrycnni.org/article/S245...

Christopher Pittenger, Godfrey Pearlson @annierhcheng.bsky.social @sobp-org.bsky.social

Interested candidates should submit to xiaosi.gu@yale.edu:
1. A cover letter describing research interests and relevant experience
2. A curriculum vitae
3. Contact information for 2–3 references
Applications will be reviewed on a rolling basis until the position is filled.

The postdoctoral associate will lead and contribute to the analysis of behavioral task data using computational modeling approaches, working closely with me, @robbrutledge.bsky.social, and with IMPACT-Y leadership,
Drs. @yiplab.bsky.social, Chris Pittenger and Godfrey Pearlson.

This large-scale, longitudinal project is designed to advance computational psychiatry by integrating
mechanistically informed behavioral tasks with theory-driven mathematical modeling in a transdiagnostic clinical cohort. impact-mh.org/awardees/imp...

🌟 Job alert! We are looking for a postdoc to join a multidisciplinary research team working on the Individually Measured Phenotypes to Advance Computational Translation at Yale (IMPACT-Y) study.
postdocs.yale.edu/posts/2026-0...

Thank you all for helping repost this ad.🙏 We've received many excellent applications! 🙌

Just wanted to clarify that *prior experience working with human participants* is required (data analysis per se is not counted as experience with human participants). Please consider your fit accordingly~

I'm looking to hire a postgraduate research associate in Computational Psychiatry for my new lab at Yale. Please see link below for details & help RT 🙏

postdocs.yale.edu/posts/2026-0...

📣🔥Thrilled to announce that 2026 Computational Psychiatry Conference will take place in New Haven, CT, btw July 14-16 -
www.cpconf.org

@robbrutledge.bsky.social @drrickadams.bsky.social @tobiasuhauser.bsky.social @docqhuys.bsky.social @clairegillan.bsky.social Sonia Bishop

More info to come soon!

Computational Psychiatry Conference New Haven, USA (July 14-16, 2026)

📣🔥Submit your symposium (30 Jan) and poster (12 Feb) abstracts to the 2026 Computational Psychiatry Conference www.cpconf.org

Excited to announce new keynotes: @danisbassett.bsky.social Eyiyemisi Damisah @adredish.bsky.social Guillermo Horga, Frederike Petzschner. See you in New Haven! #CPConf2026

Many thanks to our local committee members at Yale - @yiplab.bsky.social @shirleybwang.bsky.social @alpowers7.bsky.social @robbrutledge.bsky.social
#NewHaven #Yale #ComputationalPsychiatry

📣🔥Thrilled to announce that 2026 Computational Psychiatry Conference will take place in New Haven, CT, btw July 14-16 -
www.cpconf.org

@robbrutledge.bsky.social @drrickadams.bsky.social @tobiasuhauser.bsky.social @docqhuys.bsky.social @clairegillan.bsky.social Sonia Bishop

More info to come soon!

🧠💸 Launching the RewardSignals feed

RewardSignals is a custom feed collecting posts about reward processing and decision making.

To appear in the feed, tag your post with #RewardSignals.

You can find and pin the feed from the Feeds tab as “RewardSignals”.
#RewardSignals

apply.interfolio.com/157186

All application materials should be submitted electronically to lnkd.in/ePAGrYYH. Any questions regarding the application process may be addressed to marcia.schwartz@yale.edu.

Applications will be reviewed as they are received until the position is filled. Review begins on Nov 1, 2025.

Applicants may work in one clinical area, across multiple areas, or in the development of novel methodologies that can be broadly applied through collaboration. They should be motivated toward generating impactful work that can improve human health.

We are seeking candidates who develop and/or apply AI methodologies within the context of clinically relevant neuroscience problems. Candidates may integrate, advance or develop approaches such as NLP, machine learning, computer vision, foundation models, LLMss, and other methods.

📣💥 Open rank position in AI & Brain/Mind Health at Yale!
Come join the highly collaborative Center for Brain & Mind Health (CBM) at Yale, which seeks to apply clinical and translational neuroscience to directly improve the quality of life of individuals with conditions affecting the mind and brain.

Thank you & miss you all!!

🎉Belated congrats to Dr. @xiaosigu.bsky.social on launching the Yale Computational Psychiatry Unit! Your vision continues to inspire, & we’re so grateful for the community you built at SinaiCCP. Proud to cheer you on & excited for continued collaborations!
👉 www.neurocpu.org

1/6 Excited to see our NMH paper featured here for #WorldMentalHealthDay! rdcu.be/dYl7T

Many psychiatric symptoms are inherently social. @xiaosigu.bsky.social, @joebarnby.com, & I call for cognitive models that reflect processes most relevant to our questions, esp. for those about social symptoms🧵

👨‍💻 Open PI position in our institute 👨‍💻 !! If you are an expert in Computational Neuroscience and want to start your lab in Bordeaux, contact us !
www.fens.org/careers/job-...
@neuromagendie.bsky.social
@neurobordeaux.bsky.social

@cpsyjournal.bsky.social is switching to a paid peer reviewer system!!

Game changer for academic publishing 👏👏

cpsyjournal.org/articles/10....

A sustainable, fair, and efficient peer review system benefits affects us all and also depends on us all. We hope that this small step will help improve our current peer review system. Stay tuned with us and importantly, we hope you will contribute to the CPSY peer review process!

As such, introducing payments will not bias the outcome of the review – a concern raised by some in the past. We believe this change will enhance the fairness, efficiency, and equity of our peer review system.

Under CPSY's new model, reviewers’ compensation does not depend on the specific recommendation (accept/reject/revise) for the paper; instead, reviewers will be compensated per article as long as the peer review process for that article is complete.

However, this can no longer be justified when publishing companies are amassing huge profits and expanding their businesses by creating new journals. Meanwhile, the same scientists who review for journals for free get charged for reading papers and for publishing their papers.

Why aren't reviewers compensated, as is the case for any other type of labor? Traditionally, volunteering one's time to review manuscripts for the field is seen as part of scholarly citizenship – something you just do to support the field, not for personal gain.

Peer review is a cornerstone of the scientific publishing ecosystem. However, with the exponential growth of research, our current peer review model is clearly unsustainable. Reviewers are often overloaded with requests and editors often struggle to secure high quality reviews in a timely manner.