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Posts by Christian Webb, PhD

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Honored to have been part of the Science of Change symposium at URI, celebrating the life and legacy of Dr. James Prochaska. I shared our work using AI and machine learning for real-time detection and scalable interventions in adolescent depression via smartphones and wearables.

1 week ago 5 0 0 0

Congrats to our lab postdoc Poorvesh Dongre on his IH ’26 (ACM Interactive Health) acceptance in Porto 🇵🇹

EmBot: wearable-triggered stress detection + LLM support, shaped by mental health experts.

Preprint: arxiv.org/abs/2604.04915

#DigitalMentalHealth #LLM #Wearables

1 week ago 1 0 0 0

The CANDLab at Yale is hiring a new full-time research assistant! Excellent opportunity to gain post-bacc experience before applying to PhD programs in child and adolescent clinical psychology and neuroscience. 🧠 candlab.yale.edu/sites/default/files/downloads/YaleCANDLab_RA_2026.pdf

1 month ago 51 56 1 1

We're raising money (matched dollar for dollar!) to support paid research experiences for underrepresented students in our department at McGill. No amount too small to show support for science training these days....

crowdfunding.mcgill.ca/ui/main/p/pr...

1 month ago 1 3 0 0
Can we track therapeutic change outside the clinic?
Can we track therapeutic change outside the clinic? YouTube video by NPP - Digital Psychiatry and Neuroscience (DPN)

This Deep Dive covers work by @hadarfisher.bsky.social @nigeljaffe.bsky.social @diegopizzagalli.bsky.social @christianwebb.bsky.social exploring whether smartphone passive sensors & LLMs can track activation in adolescents w/ anhedonia receiving behavioral activation therapy
youtu.be/K1Lo50QBcQM?...

1 month ago 7 4 1 1

Great work on this important meta-analysis Hadar!

1 month ago 5 0 0 1
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I'll be giving a talk in the #CNS2026 Rising Star session on Saturday. Come say hi if you're around!

1 month ago 21 5 0 0
Two bar graphs compare changes in CES-D scores. Graph A, "Causal forest model," shows SBMT having d=0.07, P=.007, and TAU having d=-0.01, P=.82. Graph B, "Elastic net regression model," shows SBMT having d=0.08, P=.004, and TAU having d=0, P>.99.

Two bar graphs compare changes in CES-D scores. Graph A, "Causal forest model," shows SBMT having d=0.07, P=.007, and TAU having d=-0.01, P=.82. Graph B, "Elastic net regression model," shows SBMT having d=0.08, P=.004, and TAU having d=0, P>.99.

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/4qUhbCL

1 month ago 3 1 0 0
Podcast cover for JAMA Psychiatry Author Interviews, dated February 18, 19 minutes. Title: Predicting Adolescent Response to School-Based Mindfulness. A blue square displays 'Psyc' and initials 'JN'. A purple play button is at the bottom.

Podcast cover for JAMA Psychiatry Author Interviews, dated February 18, 19 minutes. Title: Predicting Adolescent Response to School-Based Mindfulness. A blue square displays 'Psyc' and initials 'JN'. A purple play button is at the bottom.

John Torous, MD, speaks with Christian A. Webb, PhD, of Harvard Medical School and McLean Hospital, about the limits of population-level prediction and the need for more potent and targeted interventions for #YouthMentalHealth.

🎧 Listen now:
ja.ma/3OSGiIw

2 months ago 6 4 0 0

Thanks Eiko!

2 months ago 2 0 1 0
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Beyond the headline results, we discuss why meaningful personalization proved elusive – and what promising directions may move the field forward – on the @jamapsychiatry.com podcast: 🎙️edhub.ama-assn.org/jn-learning/audio-player...

2 months ago 14 1 0 0

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...

2 months ago 29 14 1 1
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.

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.

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

2 months ago 8 2 0 1
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⭐ NEW PAPER ⭐ on a Bayesian approach to sample size calculations for external validation of risk prediction models - account for uncertainty in the assumed true performance of the model - plus calculate assurance probabilities & the value of information
onlinelibrary.wiley.com/doi/10.1002/...

2 months ago 34 11 0 1
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Interesting to see how our lab's recruitment sources have shifted over the last 3 years (see plot).

FB/Instagram used to pull 100+ responses/month, now much less productive. Methods like flyers and mailing lists remain steady.

Curious if any other labs are seeing this or have found new methods?

2 months ago 3 2 0 0

Matthew 25:40-45
“Then he will say to them... ‘Depart from me, you who are cursed, into the eternal fire prepared for the devil and his angels. For... I was a stranger and you did not invite me in, I needed clothes and you did not clothe me, I was sick and in prison and you did not look after me.’

2 months ago 15 5 0 0

The special issue call for papers is now live on the JCCP website: “Innovations in Digital Phenotyping for Scalable Personalization of Mental Health Care.”

Details and submission information are available here:
www.apa.org/pubs/journal...

2 months ago 4 1 0 0

🚨 Upcoming JCCP Special Issue: "Innovations in Digital Phenotyping for Scalable Personalization of Mental Health Care" Edited by Sigal Zilcha-Mano, Roee Admon, & me.

🗓 Pre-proposals due March 2, 2026
Will show on JCCP website soon (sharing early for planning)

⬇️ Call for Papers
tinyurl.com/3tkps63c

3 months ago 14 6 0 1

🚨 Upcoming JCCP Special Issue: "Innovations in Digital Phenotyping for Scalable Personalization of Mental Health Care" Edited by Sigal Zilcha-Mano, Roee Admon, & me.

🗓 Pre-proposals due March 2, 2026
Will show on JCCP website soon (sharing early for planning)

⬇️ Call for Papers
tinyurl.com/3tkps63c

3 months ago 14 6 0 1
LinkedIn This link will take you to a page that’s not on LinkedIn

Built a pipeline that automatically runs each morning and pulls new papers + preprints, merges them with CV (recent pubs + grants), and prepares an LLM-ready summary of emerging research directions and relevant funding opportunities.
First pass, please improve.
OSF: lnkd.in/ev3T2ibn

3 months ago 13 2 0 0
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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!

3 months ago 54 51 0 1

Interested in research on depression in youth? New opening for a full-time research assistant in our lab (webbslab.com) to work on a range of projects focused on the causes & treatment of depression in teens. Come join our growing lab. Please RT and share! Apply⬇️
webbslab.com/job-postings

3 months ago 23 22 0 1

Fantastic post-bacc opportunity! ⬇️

3 months ago 3 1 0 0

Interested in research on depression in youth? New opening for a full-time research assistant in our lab (webbslab.com) to work on a range of projects focused on the causes & treatment of depression in teens. Come join our growing lab. Please RT and share! Apply⬇️
webbslab.com/job-postings

3 months ago 23 22 0 1

Honored to have our work recognized by
@bbrfoundation.bsky.social, alongside many colleagues doing important work in the field.

3 months ago 8 2 0 0
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Lab dinner with the growing team! 🎉 Thrilled to welcome new postdocs Poorvesh Dongre and Francesca Morfini. Very grateful to work with this brilliant and dedicated group every day.

4 months ago 7 0 0 0
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Join us next week at the Technology in Psychiatry Summit #TIPS2025! Dec 11–12 | Virtual | 11AM–5PM ET

💡 Topics:
• AI-driven mental health apps
• LLMs in dementia caregiving
• Digital Navigators bridging tech + care
• AI for eating-disorder treatment
...& much more

🔗 tips.societyconference.com/v2/

4 months ago 3 0 0 0
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Great work on this meta-analysis Hadar!

4 months ago 5 0 1 0
Language-Based Detection of Depression with Machine Learning: Systematic Review and Meta- Analysis Early detection of depression is critical for timely intervention. Natural language processing (NLP) and machine learning (ML) approaches have increasingly been used to automatically detect depression...

💫 Excited to share new preprint a systematic review & meta-analysis of 123 studies (40k+ ppl) on how well language-based models detect depression from text.

www.researchsquare.com/article/rs-8...

4 months ago 5 3 1 1

Yes I serve on a study section that was supposed to meet late October and is now rescheduled for mid December

5 months ago 1 0 0 0