Following
@bingkai.bsky.socialIván Díaz @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/
Alejandro Schuler @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/
- B Betsy Ogburn @betsyogburn.bsky.social statistics & causal inference
Edward H. Kennedy @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
Elizabeth Stuart @lizstuart.bsky.social Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Razieh Nabi @raziehnabi.bsky.social Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc raziehnabi.com
Caleb Miles @calebhmiles.bsky.social Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
Leslie McClure @statgirllam.bsky.social Dean @ SLU College for Public Health & Social Justice; RCT & health equity statistician; runner; she/her
Johns Hopkins Dept of Biostatistics @jhubiostat.bsky.social Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics; the world's first department of biostatistics. Find us online: https://publichealth.jhu.edu/departments/biostatistics Subscribe: https://mailchi.mp/jh/biostats-newsletter
Miguel Hernan @miguelhernan.org https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.org Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
- D Daniel Scharfstein @dscharf3.bsky.social Professor of Biostatistics, University of Utah
CAUSALab @causalab.org 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
Jonathan Bartlett @jonathan-bartlett.bsky.social Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
Frank Harrell @f2harrell.bsky.social Professor of Biostatistics Vanderbilt University School of Medicine Consultant, clinical trials/drug development https://hbiostat.org https://fharrell.com
Tim Morris @timpmorris.bsky.social Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment… He/him https://tpmorris.substack.com/
Kelly Van Lancker @kellyvanlancker.bsky.social Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
Bluesky @bsky.app official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app