Followers
@bingkai.bsky.socialHUYEN @leebichnyen0231.bsky.social Kind and generous
- A @alveoli.bsky.social @alveoli.bsky.social
- J Jeremy Saxe @jsaxe.bsky.social biostatistics phd prev @UCL @Penn @UNC @NCSSM
Johan Ugander @jugander.bsky.social Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Pan Zhao @panzhao.bsky.social Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
Hāsa ~ we're just innocent women 🏳️⚧️ @khanti.bsky.social 🏳️⚧️🏳️🌈 she/her
Greg Faletto @gregoryfaletto.com Statistician, Data Scientist.
Emily Moin @emilymoin.com Intensivist, ethicist, epidemiologist, math enthusiast. Es könnte auch anders sein. (I call them tweets and they're my own)
- B Betsy Ogburn @betsyogburn.bsky.social statistics & causal inference
Daniel Posmik @posmikdc.bsky.social PhD Student @BrownBiostats // Lover of Trees 🏕️ // manifold learning, high-dimensional stats, networks // https://posmikdc.github.io
Weihan Zhang @fatuglyotaku.bsky.social Interested in semiparametric efficiency theory and causal inference. Biostatistics M.A. student @publichealth.berkeley.edu Alumnus @pku1898.bsky.social. 米国留学中。
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/
@rogervasquez.bsky.social @rogervasquez.bsky.social PhD student. Epidemiology, Causal Inference, Physical activity, and COPD
Leslie McClure @statgirllam.bsky.social Dean @ SLU College for Public Health & Social Justice; RCT & health equity statistician; runner; she/her
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
Iván 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/
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/