Jeremiah Jones
Statistician at Eli Lilly | causal inference | mediation analysis | variable selection | singer | tinkerer | open-source enthusiast | lover of dogs
@kjhealy.co
Social science and other distractions. Old posts get deleted pretty quick. https://kieranhealy.org / https://theordinalsociety.com
@dszlosek.bsky.social
Biostatistician @IDEXX formerly at @harvardmed, @BIDMChealth, @nasa. Big data, clinical trials, and medical diagnostics. Mainer. Opinions are my own. he/him
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/
@ai.nejm.org
NEJM AI, a new monthly journal from the publisher of @nejm.org, explores the cutting-edge applications of artificial intelligence and machine learning in clinical medicine. Online at ai.nejm.org.
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@ecpolley.bsky.social
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@topepo.bsky.social
Writing modeling packages at @posit.co (née RStudio). Opinions are my own. https://max-kuhn.org/
@elilillyandcompany.bsky.social
We're a medicine company turning science into healing to make life better for people around the world. Social Guidelines: https://e.lilly/guidelines
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@royalstatsoc.bsky.social
We're a membership body for statisticians and data professionals, promoting a world with data at the heart of understanding and decision-making.
@posit.co
We make free, open-source software for data scientists like the RStudio IDE. We're formerly known as RStudio. You can always download our open-source IDE here. https://posit.co/download/rstudio-desktop/
@r-foundation.bsky.social
Not for profit organization founded by the R Core Team to provide support for the R project. A reference point for interaction with the R development community.
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@amstatnews.bsky.social
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app