American Statistical Association History of Statistics @hos-asa.bsky.social The ASA History of Statistics Interest Group brings together everyone with an active interest in the history of statistics to share research and resources.
Jon Huang @jonhuang.bsky.social Epidemiology, Biostatistics, & Causal Inference for Health and Social Equity, Academic (but in the Good Way), Bringing Community Data to Communities, Dad, Motorcycle Enthusiast, R&B, Soul, Brass Band, Blues, Jazz, etc. jonhuang.org
Thom Volker @thomvolker.bsky.social PhD Candidate in Statistics, Utrecht University
Creates fake data for a living.
thomvolker.github.io
Elizabeth Stuart @lizstuart.bsky.social Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Edouard Bonneville @edbonneville.bsky.social Postdoc biostatistician at LMU Munich
missing data/survival analysis/methodological metascience/simulating stuff/making plots with questionable colour choices/ #Rstats #StatsSky
Erwin Frey @physicsoflifelmu.bsky.social Theoretical physicist interested in the physics of living systems and statistical physics. Professor at LMU Munich. Passionate about emergent phenomena and interdisciplinary research.
https://www.theorie.physik.uni-muenchen.de/lsfrey/
Alec McClean @alecmcclean.bsky.social Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
Lorenzo Fabbri @epilorenzo.bsky.social Cancer epidemiologist at CNIO 🇪🇸. Causal inference + evidence triangulation on the environmental & social determinants of cancer. PhD in Biomedicine (UPF/ISGlobal). Author of the etverse R ecosystem, forrest & orcidtr. From San Marino 🇸🇲.
Kara Rudolph @kararudolph.bsky.social Associate professor at Columbia University
Epidemiology, causal inference, addiction medicine
https://kararudolph.github.io/
Nick Williams @nickwillyamz.bsky.social Senior Data Analyst at Columbia University Epidemiology // Incoming Biostatistics PhD student at UC Berkeley
Ashley Naimi @ashleynaimi.bsky.social Professor of Epidemiology, Emory University | Associate Editor, AJE | Editorial Board, Epidemiology |
Website: https://ainaimi.github.io/
Armin Nassehi @arminnassehi.bsky.social Et in Arcadia Ego.
(Alles hier nur Privatmeinung.)- M Marcus Low @marcuslowx.bsky.social Novelist, editor of Spotlight, aspiring epidemiologist, lover of labradors.
LMU München @lmu.de Offizieller Account der Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1, 80539 München
Impressum: www.lmu.de/de/footer/impressum/index.html
Datenschutz: www.lmu.de/presse/socialmedia
Center for Advanced Studies @caslmu.bsky.social The Ludwig-Maximilians-Universität in Munich founded the Center for Advanced Studies in 2008. Since then, fellows from all over the world joined CAS.
Christopher Boyer @cboyer.bsky.social Assistant Professor, Case Western Reserve University (CCLCM). Staff Biostatistician, Cleveland Clinic.
Epidemiologist interested in causal inference, infectious disease, trial design
https://christopherbboyer.com/about.html
#causalsky #statssky #episky
Arbeitsstelle Kleine Fächer @kleinefaecher.bsky.social Willkommen auf dem Bluesky Account der Arbeitsstelle Kleine Fächer - www.kleinefaecher.de
Impressum: https://www.kleinefaecher.de/impressum
Datenschutz: https://www.kleinefaecher.de/datenschutzbestimmungen
Herb Susmann @herbps10.bsky.social Assistant Professor in Statistics at Trinity College Dublin (this account is solely in my personal capacity, all views are my own etc). Non-parametric statistics, causal inference, Bayesian methods. Herbsusmann.com
Spotlight @spotlightnsp.bsky.social In-depth, public interest health journalism from South Africa. Reporting and analysis on TB, HIV, NCDs, health systems, and much more. www.SpotlightNSP.co.za
Rickmer Schulte @rickmer.bsky.social PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Thomas Nagler @tnagler.bsky.social Mathematician, Statistician, Programmer. Prof at LMU Munich
Achim Zeileis @zeileis.org statistics, science, software
https://www.zeileis.org/
Christiane Didden @christianedidden.bsky.social Post-🐶 in social sciences at LMU Munich. Interested in causal inference, social inequality, and mental health.
Berlin Epi Methods Colloquium @bemcolloquium.bsky.social BEMC is a platform for all interested in epidemiology to explore methods and share ideas in regular talks and journal club sessions
Our events are hybrid and open to epi methods enthusiasts around the world!
More info: https://bemcolloquium.com
#EpiSky
Nan van Geloven @gelovennan.bsky.social biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
Ron Herrera @ronherrera.bsky.social Statistician and Epidemiologist
Jiaxin Zhang @jiaxinzhang.bsky.social Postdoctoral biostatistician @unimelb @MCRI_for_kids @vicbiostat | Interests: causal inference, missing data
Arik Reuter @arikreuter.bsky.social University of Cambridge and
Max Planck Institute for Intelligent Systems
I'm interested in amortized inference/PFNs/in-context learning for challenging probabilistic and causal problems.
https://arikreuter.github.io/
Kelly Van Lancker @kellyvanlancker.bsky.social Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
Louise Poppe @louisepoppe.bsky.social FWO postdoc | Experimental and theoretical psychologist. Interested in behaviour change, causal inference, and research reproducibility.
@boesmueller.bsky.social @boesmueller.bsky.social
Stats For Bios @statsforbios.bsky.social Statistics for biologists, medics, statisticians. Anyone really. By Tim Lucas, lecturer in epi/stats.
Jess Rohmann @jlrohmann.bsky.social PhD | Team Lead “Responsible health data analysis” @ BIH-QUEST | Epidemiology, causal inference & peer review
#EpiSky #AcademicSky #Meta-research
Joy Shi @joy-shi.bsky.social Investigator @mgbresearch.bsky.social and @causalab.bsky.social. Interested in epidemiology, causal inference and pedagogy.
Eh!woza @ehwoza.bsky.social Eh!woza operates at the intersection of science communication, youth advocacy, community engagement, and skills development to merge the biomedicine of disease with its social impact.
Jess Edwards @edwardsjk.bsky.social Epidemiologist; 🚲🏔️
Michael Knaus @mcknaus.bsky.social Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning.
Teaching material: https://github.com/MCKnaus/causalML-teaching
Homepage: mcknaus.github.io
Oliver Hines @ohines.bsky.social Columbia postdoc and ex-Quantco. Personal website: www.ohines.com
@svansteelandt.bsky.social @svansteelandt.bsky.social
David Rügamer @davidruegamer.bsky.social Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Optim), Sparsity, TabFMs
CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine.
https://linktr.ee/ctml_ucberkeley
Miguel-Ángel Luque-Fernández @mluquefe.bsky.social Associate Professor of Biostatistics at the University of Granada, Spain. Department of Statistics and Operations Research
https://maluque-girto71.gamma.site/
@jkobialka.bsky.social @jkobialka.bsky.social
Matthias Aßenmacher @assenmacher.bsky.social Postdoc | #NLProc researcher | @slds-lmu.bsky.social | @munichcenterml.bsky.social | @berd-nfdi.bsky.social
Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social We provide high-level #biostatistics expertise and training to child health researchers at Murdoch Children's Research Institute & University of Melbourne & conduct methodological research @vicbiostat.bsky.social
@verenazuber.bsky.social @verenazuber.bsky.social
ViCBiostat @vicbiostat.bsky.social The Victorian Centre for Biostatistics. A collaboration between the Murdoch Children's Research Institute, Monash University and The University of Melbourne.
https://www.vicbiostat.org.au/
Rushani Wijesuriya @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
Lars van der Laan @larsvanderlaan3.bsky.social Postdoc @Stanford | Ph.D. @UW Statistics | ML Research @Netflix — Machine learning, semiparametric statistics, causal inference, and reinforcement learning.
https://larsvanderlaan.github.io
LMU Open Science Center @lmu-osc.bsky.social since 2017, advancing open science at LMU University in Munich and beyond.
managing director: Felix Schoenbrodt @nicebread.bsky.social
scientific coordinator: Malika Ihle @malikaihle.bsky.social
student assistant: E. Waterfield @bethwater.bsky.social
@lesdomes.bsky.social @lesdomes.bsky.social
Valentin Amrhein @vamrhein.bsky.social Ecology, conservation, statistics, reproducibility https://camargue.unibas.ch Retire statistical significance https://nature.com/articles/d41586-019-00857-9
Caleb Miles @calebhmiles.bsky.social Assistant professor of biostatistics at Columbia University
Casual inference, statistics, etc
Pauca sed Matura
Veronica Ballerini @vballerini.bsky.social Research associate @harvard.edu @hsph.harvard.edu Dept of Biostatistics | Bayesian causal inference
New on Bluesky 🦋
Leigh Johnson @leighjohnsoncpt.bsky.social Epidemiologist and science geek
IeDEA @iedeaglobal.bsky.social International epidemiology Databases to Evaluate AIDS global cohort consortium
#HIV #AIDSisnotover
Julian Rodemann @jurodemann.bsky.social http://www.julian-rodemann.de | PostDoc CISPA Helmholtz | prev. PhD in statistics @LMU_Muenchen | VRS @HarvardStats
Mauricio Olivares @mauolivares.bsky.social Research Worker in Econometrics at LMU Munich | Previously UCL, UIUC and ITAM | Mexicano 🇲🇽
Centre for Integrated Data and Epidemiological Research (CIDER) @uctcider.bsky.social CIDER conducts multi-disciplinary research on the intersection between infectious disease and comorbidities in Southern Africa. The Centre is located within the School of Public Health at the University of Cape Town
Daniel Nevo @danielnevo.bsky.social Associate Prof. Tel Aviv University, Stat & OR Department. (Bio)statistics, causal inference, etc.
Juha Karvanen @juhakarvanen.bsky.social Professor of Statistics at University of Jyväskylä.
Interested in causal models, study design, and missing data.
Homepage: http://users.jyu.fi/~jutakarv/
Margarita Moreno-Betancur @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
Lotta Meijerink @lottameijerink.bsky.social PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction
Jacob Tiegs @jacob-tiegs.bsky.social Statistician/Data Scientist/Bioinformatician
nima hejazi @nimahejazi.org asst. prof. (bio)statistics at harvard—causal inference, semi-parametric estimation, machine learning, open-source software for statistical science.
more about my research: https://nimahejazi.org
avid runner, concertgoer, timezone hopper
The EuroCIM @eurocim.bsky.social The European Causal Inference Meeting - causal inference in health, economic and social science.
Marit B. Veierød @maritbveierod.bsky.social Professor in Biostatistics, Oslo Centre for Biostatistics and Epidemiology-OCBE, Dept. of Biostatistics, Univ. of Oslo, @ocbe.bsky.social @uio.no | Life-science epidemiology https://www.med.uio.no/imb/english/research/groups/epidemiological-studies/
Denis Talbot @denistalbotbiostat.bsky.social Professor of biostatistics at Université Laval, causal inference enthusiast, dog-lover
Oslo Centre for Biostatistics and Epidemiology @ocbe.bsky.social OCBE develops statistical, machine learning and epidemiological methods to progress science and contribute to a better health @uio.no and Oslo University Hospital
https://www.med.uio.no/imb/english/research/centres/ocbe/
Sebastian Baumeister @baumeister-se.bsky.social Epidemiologist, Universität Münster
Matthew J. Smith @mjtsmith.bsky.social PhD - Medical Statistician 💊📈
All things Emulated Trials 🍎🍏
#causalsky #statsky #episky
@aholovchak.bsky.social @aholovchak.bsky.social
Dan Malinsky @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
Dennis Frauen @ICLR 2025 @dennisfrauen.bsky.social (Ellis) PhD student at LMU
Munich. Interested in causal machine learning and reinforcement learning
Kirtan Padh @kirtan-p.bsky.social PhD candidate trying to figure out how to minimize harm and maximize the benefits of algorithms. @_kirtan_
Dave Glidden @dvgbiostat.bsky.social Professor of Biostatistics, UCSF
Nick Huntington-Klein @nickchk.com Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
Arthur Chatton @achatton.bsky.social Assistant professor in Biostatistics. School of Public Health, University of Montreal. Causal inference - Casual chess. 🇫🇷🇪🇺 living in lovely 🇨🇦
Alex Breskin @breskinepi.bsky.social Associate director of pharmacoepidemiology @regeneron| Dad to twins | Causal inference | Dogs | Cooking | Music
Naftali Weinberger @dagophile.bsky.social Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
Anne-Laure Boulesteix @boulesteixlaure.bsky.social Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.
Eric Polley @ecpolley.bsky.social Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
Clémence Leyrat @clemley.bsky.social Medical Statistician. Associate Professor at LSHTM.
Ruth Keogh @ruthkeogh.bsky.social Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
Jeremy Labrecque @jeremylabrecque.bsky.social Epidemiologist and causal inference person at Erasmus Medical Center. Québécois living in Rotterdam.
jeremylabrecque.org
Hanne Oberman @oberman.bsky.social PhD candidate in Utrecht @utrechtuniversity.bsky.social | they/them | rstats | missing data | dataviz | open science @opensciutrecht.bsky.social | @rainbowr.org 🌈 | hanneoberman.github.io
Karla Diazordaz @kdiazordaz.bsky.social Prof of Biostatistics, UCL
Pausal Zivference @pausalz.bsky.social Paul Zivich, Assistant (to the Regional) Professor
Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast.
https://github.com/pzivich
#epidemiology #statistics #python #episky #causalsky
Jon Michael Gran @jmgran.bsky.social Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
Alex Luedtke @alexluedtke.bsky.social statistician • causal inference, machine learning, nonparametrics
professor @harvardmed.bsky.social
alexluedtke.com
Zad Rafi (Sir Panda) @lesslikely.com Agnostic statistician (frequentist, bayesian, likelihoodist, fiducial) | Posts about statistics in medicine at http://lesslikely.com | | #StatsTwitter • #EpiTwitter • #RStats
Matteo Quartagno @matteoq21.bsky.social Some Italian guy who lives in London and works on statistical methods in clinical trials for a living.
Richard McElreath 🐈⬛ @rmcelreath.bsky.social Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
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
Gary Collins @gscollins.bsky.social Statistician • Professor • 125th Anniversary Chair • University of Birmingham • NIHR Senior Investigator • 🚴♂️
Google scholar: tinyurl.com/ysv3zwek
TRIPOD+AI: tinyurl.com/2dsb9e75
EQUATOR Network (https://www.equator-network.org)
Kat Hoffman @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/
Matt Fox @mattpfox.bsky.social Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
Maria Cuellar @mcuellar.bsky.social Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.- B Betsy Ogburn @betsyogburn.bsky.social statistics & causal inference
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/