After 10 months as a postdoctoral researcher at Harvard University in the USA, I'm starting a new role as a psychiatrist at UPC KU Leuven in Belgium, focusing on addiction care while continuing my research on smartphone-based treatments for substance use. Looking forward to this new adventure!
Nicolas Leenaerts
@nicolasleenaerts.bsky.social
Psychiatrist/PhD/Psychotherapist (CBT) in training | Using machine learning to improve psychiatric care | EMA, fMRI, PET https://nicolasleenaerts.github.io/
Loved working on this project, the perfect mix of clinical impact and methodological rigor! Read the paper to learn how to: 1️⃣ Integrate #OpenScience in #ML 2️⃣ Build an analysis pipeline on simulated data 3️⃣ Calculate features set size & select features 4️⃣ Do a proper decision curve analysis
New paper out! Can we predict which patients with eating disorders will still be depressed after treatment? Paper: doi.org/10.1002/eat.... Thanks to my co-authors @nicolasleenaerts.bsky.social (co-first author), Elske Vrieze, Adrian Meule, @dkolar.bsky.social, Eva P. Wuttke, Ulrich Voderholzer!
Had the pleasure to visit the @d3center.bsky.social at UMich yesterday! Everybody there is amazing. It was great talking and brain storming with you all. I am looking forward to seeing each other again soon.
Abstract for a presentation got accepted! Come to the SAA conference and hear me talk about how you can use offline reinforcement learning to create better decision rules for JITAIs!
Registration for the #SAA2026 Conference in Vienna, Austria is now open! Register now: univie.eventsair.com/saa2026/regr... By the way: Don’t miss out on the discounted early bird rates for Society for Ambulatory Assessment Full and Early Career Members. #SocietyForAmbulatoryAssessment
The first phase of the WARN-D machine learning competition is over! Congrats to the organizers! Before the results are made public, I’m sharing my experiences as a contestant, along with thoughts on the competition’s strengths and limitations. Link: nicolasleenaerts.github.io/posts/2026/3...
A contestant’s view on the WARN-D machine learning competition: Pros and worrisome cons
On January 7 2026, the WARN-D machine learning competition went live on Codabench (link). Researchers from around the world were invited to build prediction models to forecast depression onset in youn...
nicolasleenaerts.github.io
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...
When you submit a bunch of jobs to the compute cluster...
a witch is standing in front of a window and says " fly my pretties "
ALT: a witch is standing in front of a window and says " fly my pretties "
media.tenor.com
The rise of reinforcement learning algorithms in psychology and psychiatry must integrate open science practices! I am therefore proud to present the preregistration of our study using off-policy reinforcement learning to improve JITAIs for weight loss: osf.io/6wpu4/overview
OSF
osf.io
Picture from the MAPCI training institute I was lucky to attend. A great initiative from the @d3center.bsky.social. If you're interested in learning about adaptive interventions for cancer control, be sure to attend next year!
Meta-analysis finds a relation between spirituality and a reduced risk of harmful alcohol and drug use. However, is there a difference between religions banning alcohol and drugs and those that do not? Also, this does not prove that promoting spirituality reduces the risk of substance use.
Spirituality and Harmful or Hazardous Alcohol and Other Drug Use
This meta-analysis synthesizes findings about spirituality and alcohol and other drug use to estimate the overall effect size of the associated risk reduction.
jamanetwork.com
Saw another paper reporting out-of-sample R² as the squared correlation between predictions and outcomes. That’s wrong! Correlation measures association, not accuracy. It doesn’t tell you how close predictions are. #machinelearning #ML
Have you been interested in any of the set theory stuff I've been doing recently? Wondered at all how you can get in on the fun? Here's an R package @nicolasleenaerts.bsky.social and I built called 'setweaver.' This vignette should get you up and running. Yay :) cran.r-project.org/web/packages...
setweaver
cran.r-project.org
If you want some music playing in the background while you work (something stimulating but not too much), I can’t recommend Telemann’s Tafelmusik highly enough. It was literally written to be background music! www.youtube.com/watch?v=xNFk...
Telemann: Complete Tafelmusik
YouTube video by Brilliant Classics
youtube.com
As somebody with a mole near their left tear duct, let me tell you this hit a little too close to home 🫠 And to hear this for the first time at 32 😵
Really interesting paper for everybody dealing with missing data.
The image below comes from a recent paper by Grzesiak et al. (2025). For more details and additional results across different data settings, see: arxiv.org/pdf/2511.04833 Dive deeper in my course: statisticsglobe.com/online-cours... #rstats #statistics #missingdata #datascience
Watch our symposium at #TIPS2025 where I, @emmadeschuyteneer.bsky.social, and Chunzhuo Wang presented our work on using #AI to treat #eatingdisorders and #obesity. www.youtube.com/watch?v=TAVS...
youtube.com
I'm having some disappointing initial results using LLM's/foundation models for intensive longitudinal data in patients with a psychiatric disorder. Hit me up if you are having more luck or want to commiserate!
Harvard in the snow... Oh and I'm also in the picture.
Analysis pipeline using off-policy offline RL to improve JITAIs for weight loss is done! Will release the preregistration by the end of the month! Be on the lookout!
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
Snapshots from our symposium at #TIPS2025 where I, @emmadeschuyteneer.bsky.social, and Chunzhuo Wang presented our work on using #AI to treat #eatingdisorders and #obesity.
Want life tips? Well, you won’t get them from me. But if you want to hear me talk about using AI to address eating behaviors, join me at #TIPS2025.
Are you interested in how different AI methods can be used in the treatment of eating disorders and obesity? Come to the symposium of me, @emmadeschuyteneer.bsky.social, and Chunzhuo Wang at #TIPS2025!
Here @mcleanhospital.bsky.social with Tori Votaw to give a presentation on using reinforcement learning to improve JITAIs for cannabis use!
Join us in Vienna next year for #SAA2026. Abstract submissions are now open: univie.eventsair.com/saa2026/subm...
Abstract Submission - Society for Ambulatory Assessment conference (SAA 2026) - OMP, University of Vienna
univie.eventsair.com
On the first day of December, we’re excited to announce that abstract submission for the #SAA2026 Conference in Vienna is now open! Instead of sending a letter to the North Pole, send us your abstract! We look forward to your contributions 🔗 univie.eventsair.com/saa2026/ @ambulatory-assessment.org
‘It being Monday’ is showing up as the strongest predictor for a negative outcome in my dataset. Who am I modeling? Garfield? 🐈
Got selected as a MAPCI 2026 fellow! Really excited to learn how to develop JITAIs for cancer survivors struggling with substance use!
Only 3 days left to apply! MAPCI is a free, comprehensive training program (Feb 24–27, 2026 • Ann Arbor) for cancer control researchers developing adaptive interventions (including JITAIs in mobile health). Significant travel & lodging support. Apply by Nov 14, 2025 → mapci.space
Only 3 days left to apply! MAPCI is a free, comprehensive training program (Feb 24–27, 2026 • Ann Arbor) for cancer control researchers developing adaptive interventions (including JITAIs in mobile health). Significant travel & lodging support. Apply by Nov 14, 2025 → mapci.space
Our experimental study on the effects of negative mood and alcohol intoxication on reinforcement learning in the Iowa Gambling Task is now published OA in Judgment and Decision Making: doi.org/10.1017/jdm.... as always, anonymized data, materials, and code can be found on the OSF: osf.io/ky3aj/
Alcohol intoxication and negative mood similarly affect reward learning but not punishment learning in the Iowa gambling task | Judgment and Decision Making | Cambridge Core
Alcohol intoxication and negative mood similarly affect reward learning but not punishment learning in the Iowa gambling task - Volume 20
doi.org
New preprint with @hollysully.bsky.social & @kevinmking.bsky.social: Alcohol intoxication and negative mood similarly affect reward learning but not punishment learning in the Iowa Gambling Task doi.org/10.31219/osf...
Surely we can all agree that having Black Friday deals for GLP-1 agonists is just not OK.