Shayan Asadi

@shayanasadi.bsky.social

Clinical Science PhD candidate @ University of Michigan. Diversity science & psychopathology. SSHRC funded. Iranian-Canadian. Loves music.

I had the honor of presenting data from my AFSP funded work that used mixed-methods to better understand the impact of suicide exposure on Native American young people. Long story short: the impacts are nuanced and cannot be captured with overly simplistic designs. Paper currently in prep!

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It was such a joy to present alongside these folks at APS! I am beyond impressed by the work my early career peers are producing. 🤩 See below for a very brief sneak peak of my talk!

Presenters standing in front of a slideshow title page, "Investigating Environmental Determinants of Psychopathology: Towards a Contextualized Clinical Science"
Craig Rodriguez-Seijas, Ph.D. 🇹🇹🏳️‍🌈@craiganthonyrs.bsky.social · 2mo ago

So, if you're at #APSBCN (this the right hashtag?), come through on Friday for a great set of talks from ECRs on different ways of integrating social contexts within Psychopathology research. Talks from @shayanasadi.bsky.social @markschen.bsky.social @awiglesworth.bsky.social and Teresa Vargas!

New paper from our team: Can ML identify which adolescents benefit most from school-based mindfulness? In 8,376 students (MYRIAD trial), models detected statistically significant but clinically negligible differential effects (d ≈ .07–.08). Precision prevention is hard...

JAMA Psychiatry@jamapsychiatry.com · 6mo ago

Machine learning analyses in the MYRIAD trial found only clinically trivial personalization of school-based mindfulness for adolescent #Depression prevention, underscoring limited differential benefit in universal programs. ja.ma/3OkeH2P

Two bar graphs compare changes in CES-D scores between SBMT and TAU interventions using a causal forest model and an elastic net regression model. The causal forest model shows a d=0.07, P=.007 for SBMT and d=-0.01, P=.82 for TAU.

⚠️ Despite all the hype, chatbots still make terrible doctors. Out today is the largest user study of language models for medical self-diagnosis. We found that chatbots provide inaccurate and inconsistent answers, and that people are better off using online searches or their own judgment.

Banner image with screenshot of scientific article from nature Medicine, as well as two panels from the study method and results

It’s grad school application season, and I wanted to give some public advice. Caveats: -*-*-*-* 
> These are my opinions, based on my experiences, they are not secret tricks or guarantees 
> They are general guidelines, not meant to cover a host of idiosyncrasies and special cases

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New 6-month depression RCT in n=65, serial Ketamine infusions as adjunctive care vs active placebo midazolam. Ketamine did not outperform primary nor any of the secondary efficacy, cognitive, economic, or quality-of-life outcomes. 🧪 #psychiary #PsychSciSky jamanetwork.com/journals/jam...

Serial Ketamine Infusions for Depression

This randomized clinical trial evaluates outcomes following adjunctive ketamine infusions vs midazolam for depression.

jamanetwork.com

I just googled the title of a paper of mine that hasn't even been published yet (as a lazy way to find the preprint) and Gemini popped out an AI summary of it. So I guess preprints on PsyArXiv are being used in AI training sets? 🤔

Thanks everyone for retweeting this! We've gotten all the speakers we need so far. Looking forward to sharing more with yall in a few months :)

Shayan Asadi@shayanasadi.bsky.social · 10mo ago

Hi bluesky friends! I plan to submit a symposium with @craiganthonyrs.bsky.social for APS 2026 on contextual psychopathology research from ECRs (students welcome!) Content area and methods are wide open. If you are interested or know someone who may be, message me and we'll chat further. 1/2