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Leily M Behbehani

@leilyb.bsky.social
83 followers 48 following 10 posts

Clinical Psychology PhD student at Yale | Prior Research Asst at Zucker Hillside/Feinstein Institutes | Haverford College ‘21 | Computational Clinical Science

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Reposted by Leily M Behbehani
Society of Clinical Psychology (APA Div.12) @scpdiv12.bsky.social · 28/07/2026
Congrats to Dr. Shirley Wang, recipient of the David Shakow Early Career Award for Contributions to Clinical Psychology! As Assistant Professor at Yale University, she researches computational and longitudinal methods to understand complex psychopathology. ccslab.yale.edu
@shirleybwang.bsky.social
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Julian Burger @julianburger.bsky.social · 24/05/2026
3) Finally, on Saturday evening, our symposium on the intersection of AI and clinical science will bring together contributions on the hopes, promises, and risks of integrating AI in clinical research and practice. Contributions from Meike Waaijers, Dr. Elizabeth Stade, and Leily Behbehani.
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Grace Hart (she/her) @francesghart.bsky.social · 28/05/2026
The CCS Lab is at #APS2026 in Barcelona! 🌟 Catch us across Friday & Saturday with talks on formal theories, natural language processing, and EMA in suicide and eating disorders! @sharinahamm.bsky.social @leilyb.bsky.social @adanyajohnson.bsky.social @shirleybwang.bsky.social
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Awais Aftab @awaisaftab.bsky.social · 11/05/2026
When patients ask, “What disorder do I really ‘have’?” the honest answer is usually more interesting and messier than a single diagnostic label. I wrote for the @nytimes.com on what I wish people understood about diagnoses and the nature of mental health problems. www.nytimes.com/2026/05/11/o...
nytimes.com
Opinion | We’re Thinking About Mental Health Diagnoses All Wrong
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Aidan Wright @aidangcw.bsky.social · 02/02/2026
New paperAlert! We show that generative AI can quantitatively assess personality from brief, open-ended text—with surprising accuracy. 🧠✨ Preprint: osf.io/preprints/ps... Postprint (pending mod approval): osf.io/preprints/ps... 1/10
osf.io
OSF
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Shirley Wang @shirleybwang.bsky.social · 03/02/2026
New paper out today in JCCAP! We outline future directions for mathematical, computational, & digital methods in suicide research @leilyb.bsky.social @sharinahamm.bsky.social @francesghart.bsky.social www.tandfonline.com/doi/full/10....
tandfonline.com
Future Directions for Mathematical, Computational, & Digital Methods in Suicide Research
Suicide is a leading cause of death worldwide, and is one of the most devastating, complex, and perplexing of all human behaviors. Unfortunately, despite centuries of scientific and scholarly inqui...
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Grace Hart (she/her) @francesghart.bsky.social · 01/01/2026
(1/9) New year, new preprint alert!! 🤩🚨 We provide new evidence linking intolerance of uncertainty and death anxiety in religious/spiritual individuals. Link: doi.org/10.31234/osf... See 🧵 for a brief summary 👇 #deathanxiety #intoleranceofuncertainty
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Shirley Wang @shirleybwang.bsky.social · 13/01/2026
We're hiring! The Computational Clinical Science Lab @ Yale is seeking a full-time lab manager/research coordinator to start in early summer 2026. For more information about the position and to apply: forms.gle/LtQwVgPUfaGk... Please share widely & consider applying!
forms.gle
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Sunny X. Tang, M.D. @stanglab.bsky.social · 07/01/2026
#NewPaperAlert 😎! We developed a prototype for an Augmented Reality (#AR) smartphone app (NST-SPARK) that delivers recovery-oriented cognitive therapy targeting negative symptoms of schizophrenia and completed a preliminary study... 1/5 dx.doi.org/10.1111/eip....
dx.doi.org
Preliminary Findings From an Augmented Reality (AR) App Delivering Recovery‐Oriented Cognitive Therapy for Negative Symptoms in Schizophrenia
Background NST-SPARK is a novel digital therapeutic targeting negative symptoms in schizophrenia spectrum disorders (SSD). It is a smartphone application delivering recovery-oriented cognitive thera...
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Leily M Behbehani @leilyb.bsky.social · 10/12/2025
And yes! I totally agree that examining latent embedding dimensions or supervised projections to characterize the endpoints vs. the gray zone would be a great next step.
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Leily M Behbehani @leilyb.bsky.social · 10/12/2025
Thank you so much! One thing we noticed is the “I don’t know” topic also peaked in the mid range, suggesting people experience the middle of the scale as harder to pin down. So part of the grey zone may be heterogeneity and genuine uncertainty about what the mid range represents.
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
Awesome work!
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Shari Hamm @sharinahamm.bsky.social · 01/12/2025
New preprint alert! (1/5)🌟 I’m thrilled to share the preprint of my first first-authored PhD paper! We test whether shared reinforcement functions help explain why adolescents who engage in one self-destructive behavior often engage in others. Summary⬇ osf.io/preprints/ps...
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Sunny X. Tang, M.D. @stanglab.bsky.social · 09/12/2025
New paper alert! Check out our new manuscript in @SchizRes Cognition, led by Sunghye Cho. Here we used automated speech and language analysis to compare verbal fluency responses from people with psychosis, depression, and healthy controls. 1/5 lnkd.in/eg8Y-gGJ
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
A HUGE thank you to all of my collaborators Dr. Ruben Van Genugten, @kathrynfox.bsky.social @sharinahamm.bsky.social @francesghart.bsky.social and my brilliant advisor @shirleybwang.bsky.social for supporting and contributing to this project!
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
6/6 These findings challenge assumptions in our field: that numeric ratings function as uniformly interpretable indicators of suicidal thinking. Mid scale ratings often reflect qualitatively different experiences, not merely different intensities.
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
5/6 What we found: 1️⃣ Shared meaning emerged only at the ends of the scale. 2️⃣ The middle of the scale was a conceptual gray zone. 3️⃣ Between person consistency never exceeded ~ 20%. 4️⃣ Within person consistency was strongest at scale endpoints. 5️⃣LLM refinement outperformed BERTopic alone.
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
4/6 Using a 2 stage NLP pipeline (BERTopic -> LLM refinement), we extracted coherent themes from thousands of participant responses and mapped them onto the numeric rating scale. We also looked at within person consistency (across time) and between person consistency (across people).
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
3/6 Across 2 independent cohorts of adolescents and young adults, participants were randomly assigned number ratings (0-10) of suicide urge and provided open ended descriptions of what thoughts they would be having at those ratings.
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
2/6 We usually treat numeric ratings as if they directly reflect suicide risk. But psychological measurement tells us something trickier: People map internal states onto numbers in highly personal ways.
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Leily M Behbehani @leilyb.bsky.social · 09/12/2025
New preprint alert🚨 We often rely on 0-10 scales to assess suicide urges in EMA and clinical settings. But we rarely ask a surprisingly important question: What do these numbers mean? In our new paper, we examine what these ratings mean and how consistently people use them. More info ⬇️
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Dominique Maciejewski 🟥 @domimaciejewski.bsky.social · 07/11/2025
What a week! After 5 days, the #mitnb workshop has come to an end. We had a keynote on time scales and two workshops on careless responding and reliability. The central part of the workshops were the hackathons. We had super diverse hackathons, all designed to assess measurement in #ESM. (1/4)
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Jivesh Ramduny @jivr.bsky.social · 16/10/2025
Excited to share our new paper entitled Multisystem Environmental Factors Elucidate Shared and Distinct Associations With Brain and Behavior in Adolescents. Link: www.jaacap.org/article/S089.... @kavliatyale.bsky.social
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Jordyn R. Ricard @jordynricard.bsky.social · 20/10/2025
Excited to share our new preprint! We conducted a spatial meta-analysis of community violence and mental health, synthesizing 155 articles (k = 769) to test how exposure to community violence is associated with mental health problems, and how state social service investments moderate the link. 💵
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Dominique Maciejewski 🟥 @domimaciejewski.bsky.social · 03/11/2025
1st day of #MITNB meeting at @tesc-tilburgu.bsky.social. Excited for the week ahead, where we'll tackle measurement issues in #ESM, e.g. modeling processes across timescales, building a formal theory on measurement, and evaluating statistical assumptions in #ESM data. Go teamwork <3
Participants of the MITNB workshop, where we stand outside in a group of around 40 people
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Shirley Wang @shirleybwang.bsky.social · 09/05/2025
Last weekend my lab attended our first conference together @harvardwipsych.bsky.social! It was an *incredible* way to wrap up our first year 😍 @sharinahamm.bsky.social @francesghart.bsky.social
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Shirley Wang @shirleybwang.bsky.social · 02/07/2025
Almost exactly one year after starting my lab (!), I'm thrilled to share our first preprint! 🥳 @leilyb.bsky.social @sharinahamm.bsky.social @francesghart.bsky.social We propose future directions for mathematical, computational, & digital methods to advance suicide research: osf.io/preprints/ps...
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Grace Hart (she/her) @francesghart.bsky.social · 25/07/2025
(6/6) Big thank you to co-authors @sharinahamm.bsky.social , @leilyb.bsky.social , @kathrynfox.bsky.social , @shirleybwang.bsky.social- and bluesky-less Kathryn Coniglio, Erin Reilly, and Leah Somerville- for their support in this project!
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