@arxiv-stat-me.bsky.social

Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social

@arxiv-stat-ml.bsky.social

source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social

@romanklinger.de

professor for natural language processing, head of BamNLP @bamnlp.de 📍 Duisburg, Stuttgart, Bamberg #NLProc #emotion #sentiment #factchecking #argumentmining #informationextraction #bionlp

@gemoran.bsky.social

Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽

@bleilab.bsky.social

Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab

@velezbeltran.bsky.social

Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!

@lizstuart.bsky.social

Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.

@sherrirose.bsky.social

Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account

@miguelhernan.org

https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social

@amstatnews.bsky.social

The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.

@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.

@wenbowu.bsky.social

Assistant Professor of Biostatistics, Nephrology, and Data Science at NYU | Incoming Assistant Professor of Data Science at Johns Hopkins Bloomberg School of Public Health | https://wenbowu.me

@vveitch.bsky.social

machine learning and artificial intelligence | University of Chicago / Google

@causalab.bsky.social

Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab

@larsvanderlaan3.bsky.social

Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io

@ledell.bsky.social

Chief Scientist @ Distributional.com @dbnlAI.bsky.social #MLSky #StatSky Founder @ datascientific.com Founder wimlds.org & co-founder rladies.org PhD @ UC Berkeley 🏡 🌈 Oakland, California.

@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/

@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

@alexluedtke.bsky.social

associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com

@kathoffman.bsky.social

biostatistician + biostatistics phd student at the university of washington. learning + writing about better ways to conduct research. #rstats, #dataviz, causal inference. she/her. blog: https://www.khstats.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/

@arxiv-cs-cl.bsky.social

Computer Science -- Computation and Language source: export.arxiv.org/rss/cs.CL maintainer: @tmaehara.bsky.social

@swetakar.bsky.social

Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev

@claudiashi.bsky.social

machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/

@bsky.app

official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]