Daniel Nevo
Associate Prof. Tel Aviv University, Stat & OR Department. (Bio)statistics, causal inference, etc.
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@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
@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
@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
@rush-099.bsky.social
Postdoctoral biostatistician at Murdoch Children's Research Institute and University of Melbourne★Biostatistics research : causal inference and missing data problems in child health, population allergy and social epidemiology ★she/her ★Views my own
@vballerini.bsky.social
Research associate @harvard.edu @hsph.harvard.edu Dept of Biostatistics | Bayesian causal inference New on Bluesky 🦋
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@paulgp.com
Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@jondr44.bsky.social
@danielioren.bsky.social
Assistant Professor, Department of Economics, Tel Aviv University
@margaritamb.bsky.social
Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
@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
@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/
@fjrubio.bsky.social
Lecturer at the Department of Statistical Science of UCL. All opinions my own. 🇲🇽🇬🇧 https://sites.google.com/site/fjavierrubio67/ #rstats #JuliaLang #Bayesian #Statistics #Biostatistics
@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@jmgran.bsky.social
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
@kaz-yos.bsky.social
Father in Training | #Rheumatology & Immunology Clinical Development | Pharmacoepidemiology | https://www.linkedin.com/in/kazyos/
@epiellie.bsky.social
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@nshejazi.bsky.social
assistant professor of biostatistics at harvard — causal inference, machine learning, and semi-parametric estimation, mostly for questions in infectious disease science and climate change avid runner, concertgoer, timezone hopper https://nimahejazi.org
@ruthkeogh.bsky.social
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
@lmiratrix.bsky.social
Associate professor at the Harvard Graduate School of Education. Works on statistical methodology, causal inference, text as data, randomized experiments, and sometimes bad prose and poetry.
@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
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@louisahsmith.com
Assistant professor at Northeastern (Health Sciences) & the Roux Institute in Portland, ME. Epidemiologic methods, causal inference, biostats, reproductive and perinatal epi, #rstats, teaching & learning. she/her 🐶🚴♀️🏔️🎗️
@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/
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app