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danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
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Looking forward to this! Say hi if you're in Atlanta.

“Protecting our university from Trump’s cruel agenda means resisting his instrumentalization of antisemitism” – a new op-ed from some Jewish colleagues at Columbia www.columbiaspectator.com/opinion/2025...

Potentially an actually beneficial use-case of AI* in the clinic *Supervised learning w/ CNN, not gen-AI

It is barely February and I have already reached my emotional quota for peer review requests in 2025.

The entire archive of CDC datasets can be found here. HUGE shoutout to data archivists- this work is important 👏🙌🏻 archive.org/details/2025...

My latest for The Nation. Trump Is Trying to Destroy Public Health In America: the administration has ground crucial scientific activity to a halt. It’s an act of national suicide. www.thenation.com/article/soci...

Good essay by @economeager.bsky.social FFO: Truth, Probability, and "Truth and Probability"

Hey look a new commentary on AI in healthcare! "Healthcare AI should be 'actionable,' and the change in actions induced by AI should improve outcomes. Quantifying the effect of changes in actions on outcomes is causal inference." academic.oup.com/jamia/advanc...

Helpful comment from Reviewer 3, on a paper analyzing data from an observational study: "would be better if you could validate in a clinical trial" Gee thanks! (This was their only comment)

Do you like quantile regressions, graphical models, and things that sound like a duck? If yes, check out our new draft introducing QuACC graphical models: arxiv.org/abs/2411.17033

The Columbia public health school published this Q&A about my work on causality & algorithmic fairness. Read on to learn how the IMF's imposed austerity policies post-2009 financial crisis led me down a path toward studying causal inference* *not among the intended effects shorturl.at/KkeWu

For my first post on this app, you get something twitter never had: a picture of my good dog Ferdinand