Maddy Frumkin (she/her)

@maddyfrumkin.bsky.social

Licensed Psychologist & Assistant Professor of Biomedical Data Science and Psychiatry at Dartmouth | Using dynamic data to understand, predict, and treat chronic pain conditions https://sites.dartmouth.edu/frumkin-lab/

Check out this upcoming webinar on June 16th: "Past Lessons, Present Innovation, Future Precision: Advancing Pain Science for the Health of Our Nation" Featuring - Amber K. Brooks, MD, MS - Professor of Anesthesiology and Pain Medicine at Wake Forest University School of Medicine

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New paper alert 📣 We examined adherence to EMA in a 2,000+ participant surgical study. Important findings for those interested in perioperative EMA, and EMA more broadly! As this is among the largest EMA studies, we were able to look at demographic and clinical correlates of EMA compliance.

Working on a NIH multiyear funding tracker... This looks at the amount of multiyear funding (grants having a budget period 366 days or longer) for new and competitive renewal awards divided by the total amount of new and competitive renewal award funding over the same period. 1/5

A line graph of the fraction of multiyear funding. The line for FY2025 increased in the last third of the year and the level in FY2026 is already high.

New and Competitive Renewals Only 803 grants have been made compared to ~2650 in fiscal years 2023 and 2024 through February 20. All institutes and centers (include OD now) have made awards except NIAAA, NLM, NCCIH, and FIC. 3/4

Line graph of the number new and competitive renewal grants funded by NIH in fiscal year 2026 through February 20, compared to fiscal years 2020-2025. The fiscal year 2026 is well below the other curves.

Happy match day eve to all who are celebrating 🤞 I've been thinking lately about how our field seems to have moved on to other conversations (AI AI AI AI AI AI AI AI), and yet none of our existing problems (pre-degree fellowship, EPPP, licensure laws) have budged... 🆘

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.

I'm looking for a postdoc to work on our NIH-funded R01 which is a longitudinal cohort of adolescents (13-20) doing EMA and passive text sensing! Please apply, especially if you have experience in the analysis OR collection of these data. PLEASE SHARE!! indiana.peopleadmin.com/postings/32132

Postdoctoral Researcher

Postdoctoral Researcher Study of Affective Disorders’ Classification and Treatment (SADCAT) Lab  Dr. Lorenzo-Lorenzo LuacesDepartment of Psychological and Brain Sciences at Indiana University Blooming...

indiana.peopleadmin.com

NEW: The Trump admin unexpectedly canceled almost $2 billion in funding for substance use and mental health. Organizations today are forced to lay off staff and scale back lifesaving services, like opioid reversal medications for first responders. My latest: www.theguardian.com/us-news/2026...

‘People will die’: Trump administration cancels up to $1.9bn for substance use and mental health

Funding to end immediately for up to 2,800 grantees of US agency that serves thousands seeking help and in recovery

theguardian.com

After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...

WARN-D machine learning competition is live » Eiko Fried

If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...

eiko-fried.com