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Andre Marquand

@amarquand.bsky.social
529 followers 97 following 10 posts

Interested in data analysis, neuroscience, machine learning

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Reposted by Andre Marquand
Mel Andrews @bayesianboy.bsky.social · 30/01/2026
A new study from Anthropic finds that gains in coding efficiency when relying on AI assistance did did not meet statistical significance; AI use noticeably degraded programmers’ understanding of what they were doing. Incredible.
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Andre Marquand @amarquand.bsky.social · 16/01/2026
I am very excited about this new preprint! @likeajumprope.bsky.social presents an approach for charting growth velocity using normative models. It provides a fundamental framework for detecting individualised deviations from an assumed developmental trajectory. Enjoy! arxiv.org/abs/2601.07591
arxiv.org
Charting the velocity of brain growth and development
Brain charts have emerged as a highly useful approach for understanding brain development and aging on the basis of brain imaging and have shown substantial utility in describing typical and atypical ...
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Reposted by Andre Marquand
Jörn Diedrichsen @diedrichsenjorn.bsky.social · 29/10/2025
Also out today in PNAS: Anwesha Das shows in this thorough paper that "micro-offline gains" in sequence learning do not reflect consolidation of a motor memory - they also happen in random sequences. With @eazanon.bsky.social and Max-Philip Stenner (Magdeburg). www.pnas.org/doi/10.1073/...
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Andre Marquand @amarquand.bsky.social · 16/10/2025
... and a lifespan normative model of fractional anisotropy from Ramona Cirstian. An important contribution! linkinghub.elsevier.com/retrieve/pii...
linkinghub.elsevier.com
Redirecting
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Andre Marquand @amarquand.bsky.social · 16/10/2025
A bit belated, but here are some new papers! first, a conceptual framework for modelling extremes in neuroimaging data onlinelibrary.wiley.com/doi/full/10.... Great work from the inimitable Charlotte Fraza!
onlinelibrary.wiley.com
Using Extreme Value Statistics to Reconceptualize Psychopathology as Extreme Deviations From a Normative Reference Model
Overview of our approach for extreme value statistics. First, we fit a normative model to imaging phenotypes, before employing a ‘peaks-over-threshold’ approach widely used in meteorology and finance...
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Andre Marquand @amarquand.bsky.social · 16/10/2025
Come work with us! we are hiring a scientific software developer! www.radboudumc.nl/en/vacancies...
eur01.safelinks.protection.outlook.com
Vacancy - Research Software Engineer for Real-World Data
Join the forefront of healthcare innovation at Radboudumc as a research software engineer! We are seeking a passionate and driven individual to ...
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Andre Marquand @amarquand.bsky.social · 13/05/2025
Come work with us! we are recruiting for a talented PhD candidate for a new project www.radboudumc.nl/en/vacancies...
radboudumc.nl
Vacancy - PhD candidate 'Nightly dance – Dynamics of mother, father, and baby night interactions and sleep'
We are looking for a highly motivated PhD candidate within the project Nightly dance – Dynamics of mother, father, and baby night interactions and ...
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Reposted by Andre Marquand
Dr. Dominic Royé @drxeo.eu · 05/05/2025
[🆕RESEARCH] Increasing vegetation cover by 10%, 20%, and 30% could lower the global population-weighted mean temperature during the #warm season. These reductions could prevent approximately 0.86, 1.02, and 1.16 million deaths—corresponding to 27.16%, 32.22%, and 36.66% of all heat-related deaths.
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Andre Marquand @amarquand.bsky.social · 29/04/2025
... and another cool framework from Loran Knol! www.medrxiv.org/content/10.1...
medrxiv.org
Unobtrusive inference of circadian rhythms from smartphone data
Circadian rhythms are an integral feature of human cognition and psychopathology but are difficult to measure outside laboratory conditions and over long timescales. Smartphones and other wearables ar...
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Andre Marquand @amarquand.bsky.social · 29/04/2025
Very pleased to see this paper out! An analytical frameowrk for digital phenotyping data based on hidden Markov Models. Great stuff from Imogen Leaning! jmir.org/2025/1/e64007
jmir.org
Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study
Background: Brain-related disorders are characterized by observable behavioral symptoms, for example, social withdrawal. Smartphones can passively collect behavioral data reflecting digital activities...
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Reposted by Andre Marquand
Carolina Temporão @carotemporao.bsky.social · 21/03/2025
2/ Our first speaker was Prof. André Marquand (@amarquand.bsky.social), who studies how environmental challenges affect mental health. His talk reinforced that neuroscientists can also play a key role in researching impacts and effective ways to promote climate action engagement and policy-making! 🧠
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Gary Marcus @garymarcus.bsky.social · 06/02/2025
In irony too funny for words, Anthropic asks that you please don’t use AI in your job application. No, really! open.substack.com/pub/garymarc...
open.substack.com
Irony too funny for words
Oops
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 28/01/2025
A colleague today asked about Gaussian Processes on a sphere. Like spatial autocorrelation on the globe. I asked @avehtari.bsky.social. There are papers! This problem common enough to be worth having a case study I think? (1) Theory doi.org/10.1007/s112... (2) Application doi.org/10.48550/arX...
doi.org
Hilbert space methods for reduced-rank Gaussian process regression - Statistics and Computing
This paper proposes a novel scheme for reduced-rank Gaussian process regression. The method is based on an approximate series expansion of the covariance function in terms of an eigenfunction expansio...
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The Bob (aka AFNIman) @bobcoxauthor.bsky.social · 28/01/2025
My impression of this action is that it is quite deliberately intended to sow chaos, doubt, and destruction. wapo.st/4gfgcHQ
wapo.st
White House pauses all federal grants, sparking confusion
The Trump administration has put a hold on all federal financial grants and loans, affecting tens of billions of dollars in payments.
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Floris de Lange @predictivebrain.bsky.social · 25/01/2025
www.nature.com/articles/d41...
nature.com
Bluesky’s science takeover: 70% of Nature poll respondents use platform
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X.
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Reposted by Andre Marquand
Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 24/01/2025
Week 3 homework for my stats course. "Causal salad": adding measurements to a regression until something is significant and interpreting every coefficient as a total causal effect. This is rarely sensible. (All course materials here github.com/rmcelreath/s...)
\subsection*{2}
Suppose your colleague is interested in the causal effect of food $F$ on weight $W$. They run a linear regression of $W$ on $F$, $G$, and $A$. They report the following coefficients:
\begin{verbatim}
             mean   sd  5.5% 94.5%
(Intercept)  4.06 0.44  3.37  4.76
F            2.51 1.48  0.15  4.87
G           -0.61 0.16 -0.86 -0.35
A            0.39 0.24  0.00  0.77
\end{verbatim}
They interpret the value 2.51 (0.15--4.87) as the causal effect of adding a unit of food to a territory.

What is wrong with your colleague's reasoning? What is a better estimate of the causal effect of food? Why does your estimate and your colleagues' differ so much?
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Imaging Neuroscience @imagingneurosci.bsky.social · 15/01/2025
New paper in Imaging Neuroscience by Hossein Rafipoor, Saad Jbabdi, et al: Hierarchical modelling of crossing fibres in the white matter direct.mit.edu/imag/article...
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Gary Marcus @garymarcus.bsky.social · 16/01/2025
“LLMs amplify existing security risks and introduce new ones” Even Microsoft sees it. New paper at arXiv, discussed briefly below. open.substack.com/pub/garymarc...
open.substack.com
“LLMs amplify existing security risks and introduce new ones”
also: “the work of securing AI systems will never be complete”
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eLife @elife.bsky.social · 16/01/2025
🎉 eLife is pleased to announce Timothy Behrens (@behrenstimb.bsky.social) as our new Editor-in-Chief! A distinguished neuroscientist and long-time supporter, Tim will lead our efforts in transforming research communication for all.
buff.ly
eLife appoints Timothy Behrens as Editor-in-Chief
Behrens will lead eLife’s efforts to improve research communication for all.
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Ketan Joshi @ketanjoshi.co · 15/01/2025
lol, a clip of a Tesla's vision system trying to understand a train labyrinth.zone/notice/Aq5V7...
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Gary Marcus @garymarcus.bsky.social · 15/01/2025
“𝗧𝗵𝗿𝗲𝗲 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗶𝗮𝗻𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗯𝗲𝗮𝗰𝗵, 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲𝗶𝗿 𝗵𝗲𝗮𝗱𝘀 𝗶𝗻 𝘁𝗵𝗲𝗶𝗿 𝘀𝗮𝗻𝗱”
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Whelan Lab TCD @whelanlabtcd.bsky.social · 14/01/2025
Should also mention: associated OSF resource osf.io/d9r3x/ with links to code & demo videos. Again, huge tks to contributors incl. @oesteban.bsky.social @amarquand.bsky.social @engra.me @clarekelly.bsky.social @jivr.bsky.social @christiangaser.bsky.social
osf.io
Methods for analyzing large neuroimaging datasets
A fully open-access book with a truly practical guide to analyzing large neuroimaging datasets. Get the book: https://link.springer.com/book/10.1007/978-1-0716-4260-3 Hosted on the Open Science...
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Eric Topol @erictopol.bsky.social · 13/01/2025
The projected burden of dementia in the United States www.nature.com/articles/s41...
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Financial Times @financialtimes.com · 13/01/2025
The man in charge of social media platforms used by billions should show some moral courage, writes @jemima.bsky.social www.ft.com/content/682c...
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Seth Abramson @sethabramson.bsky.social · 13/01/2025
🎉
aa.com.tr
Over 60 German universities quit social media platform X
Platform accused of failing to uphold values of diversity, freedom, and scholarship - Anadolu Ajansı
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Andre Marquand @amarquand.bsky.social · 13/01/2025
New paper! This is a very elegant way to assess longitudinal change against normative models estimated cross-sectionally! Great stuff from Barbora Rehák Bučková! elifesciences.org/reviewed-pre...
elifesciences.org
Using normative models pre-trained on cross-sectional data to evaluate intra-individual longitudinal changes in neuroimaging data
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Andrew Gelman et al. @statmodeling.bsky.social · 01/01/2025
Calibration “resolves” epistemic uncertainty by giving predictions that are indistinguishable from the true probabilities. Why is this still unsatisfying? statmodeling.stat.columbia.edu/2024/12/31/c...
statmodeling.stat.columbia.edu
Calibration “resolves” epistemic uncertainty by giving predictions that are indistinguishable from the true probabilities. Why is this still unsatisfying? | Statistical Modeling, Causal Inference, an...
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Bob E Hayes @bobehayes.bsky.social · 28/12/2024
o3, #AGI, the art of the demo, and what you can expect in 2025 "I saw zero evidence that o3 could work reliably in open-ended domains... The most important question wasn’t really addressed." @garymarcus.bsky.social garymarcus.substack.... #generativeAI
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eLife @elife.bsky.social · 29/12/2024
🛠️ November's most-read Tools and Resources paper presents a new method to identify dynamic causal interactions in complex systems: buff.ly/3Zldxpt Learn more about publishing your tools or resources with us: buff.ly/4f2O0Ht
2-dimensional projections of the Rössler attractor and the Lorenz system
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Reposted by Andre Marquand
Onur Bakiner @bakiner.bsky.social · 23/12/2024
"The media should be asking hard questions, not fanning hype." Great technical piece by Gary Marcus on OpenAI's (supposed) ARC-AGI test on the o3 model.
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Jörn Diedrichsen @diedrichsenjorn.bsky.social · 08/12/2024
I know that many people are worried about eLife’s new publishing model - but please, please read this blog.
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Reposted by Andre Marquand
Dr. Jan Zimmermann @janzimmermann.bsky.social · 11/12/2024
Folks who oppose elife are missing the point. Experimenting requires fiddling with the knobs and they are the only ones in town actually trying anything.
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PessoaBrain @pessoabrain.bsky.social · 07/12/2024
That's pretty unique behavior!
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Tim Behrens @behrenstimb.bsky.social · 01/12/2024
OK If we are moving to Bluesky I am rescuing my favourite ever twitter thread (Jan 2019). The renamed: Bluesky-sized history of neuroscience (biased by my interests)
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 02/12/2024
Working on a case study for survival analysis. These models are odd compared to typical GLM examples: missing data (censoring) that cannot be ignored, data model (likelihood) and data-generating model not same, how to visualize predictions, 2+ equivalent ways to program. Good real data wrestling.
Figure 21.2: Posterior predictive distributions of waiting times for the first adoption model (without
censoring). Each curve is a Kaplan-Meier plot for an individual prior simulation. Black curves
correspond to black cats. Orange curves correspond to all other cat colors. Left: Simulated curves
for samples of 1000 cats. Right: Simulated curves for samples of only 100 cats
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Andre Marquand @amarquand.bsky.social · 29/11/2024
new preprint! The rationale and design for the PRECOGNITION study funded by the @wellcometrust.bsky.social www.medrxiv.org/content/10.1...
medrxiv.org
Learning latent profiles via cognitive growth charting in psychosis: design and rationale for the PRECOGNITION project
Cognitive impairments are a core feature of psychosis that are often evident before illness onset and have substantial impact on both clinical and real-world functional outcomes. Therefore, these are ...
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 26/11/2024
Since it is inefficient to attempt to educate every reviewer individually, I am yeeting into your feed this clear paper from Gelman, Hill, and Yajima on how Bayesians can do even better than correcting for multiple comparisons. arxiv.org/abs/0907.2478
arxiv.org
Why we (usually) don't have to worry about multiple comparisons
Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies t...
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Dr. Kareem Carr, Ph.D. @kareemcarr.bsky.social · 24/11/2024
Beginning to understand why so many Americans are obsessed with trans issues and panicking about being replaced. They think there are 21x more trans people, 27x more muslims, 15x more jews, 5x more asians, 3x more black people, and 2x more immigrants than there actually are.
YouGov 2022 poll results for American’s estimates of various group sizes as a proportion of the US population vs the actual numbers.
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Alex Williams @itsneuronal.bsky.social · 18/11/2024
My lab has been working on comparing neural representations for the past few years - methods like RSA, CKA, CCA, Procrustes distance We are often asked: What do these things tell us about the system's function? How do they relate to decoding? Our new paper has some answers arxiv.org/abs/2411.08197
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Prof. Stefan Rahmstorf @rahmstorf.bsky.social · 20/11/2024
Important new study shows that current climate models underestimate the human-caused slowing of the #AMOC (Atlantic Meridional Overturning Circulation), because they neglect freshwater influx from Greenland melt and other sources. /1 🌊 www.nature.com/articles/s41...
nature.com
Weakening of the Atlantic Meridional Overturning Circulation driven by subarctic freshening since the mid-twentieth century - Nature Geoscience
Fresh meltwater entering the Labrador and Irminger seas has resulted in a slowing of the Atlantic Meridional Overturning Circulation since the 1950s, according to a combination of modelling approaches...
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Clyde Francks @clydefrancks.bsky.social · 15/11/2024
Want to do a PhD in Nijmegen on 'Mapping language-relevant genetic effects on brain variability using normative modelling' with myself, @amarquand.bsky.social and @profsimonfisher.bsky.social ? Applications welcome via mpi.nl/imprs-phd-fe... We are a friendly international group of🧠🧬scientists
mpi.nl
IMPRS PhD Fellowships 2025 | Max Planck InstituteMax Planck Institute for psycholinguistics
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Caroline Nettekoven @carobellum.bsky.social · 27/09/2024
Our atlas is now out in @NatureComms! Thank you to our reviewers whose insightful comments helped sharpen our argument. I might have had too much fun with the 33-page response - glad it lives alongside the paper. rdcu.be/dViIJ #Cerebellum #Neuroskyence #fMRI
rdcu.be
A hierarchical atlas of the human cerebellum for functional precision mapping
Nature Communications - The human cerebellum consists of mosaic of functional regions. Here, the authors fused multiple task-based dataset to develop a probabilistic functional atlas that can be...
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Aaron Clauset @aaronclauset.bsky.social · 10/03/2014
I've been saying the same things for years: Why good data science cannot be automated blog.mikiobraun.de/2014/02/data-ana… from @mikiobraun
blog.mikiobraun.de
Data Analysis: The Hard Parts
Even given the amazing tools we have nowadays, data analysis remains hard. You need to know what you do. Here are my four reasons why.
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Andre Marquand @amarquand.bsky.social · 12/11/2024
A machine learning approach for parsing individual variability in psychosis on the basis of cognition. A very nice contribution from Rob McCutcheon! jamanetwork.com/journals/jam...
jamanetwork.com
Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach
This cross-sectional study uses nonlinear machine learning algorithms with a large phenotyped dataset to investigate associations of cognitive impairment in psychosis with risk factor exposure.
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Claire Gillan @clairegillan.bsky.social · 11/11/2024
Hey new followers! 👋 We are excitedly working away on lots of new habit research - days of training with electrophysiology 🧠 with neural decoding, causal work on making and breaking 🙅‍♀️, and 📱 assessments. As a preview - check out our latest in TiCS www.cell.com/trends/cogni...
cell.com
Leveraging cognitive neuroscience for making and breaking real-world habits
Habits are the behavioral output of two brain systems. A stimulus–response (S–R) system that encourages us to efficiently repeat well-practiced actions in familiar settings, and a goal-directed system...
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