Triangulation of Innovative Methods to End Alzheimer’s Disease @timead.bsky.social Research shows up to 45% of Alzheimer’s cases may be preventable. TIME-AD compares data across studies to fill key research gaps, with support from the National Institute on Aging (NIA).
Learn more: www.time-ad.org
Matt Parkes @mattyjparkes.bsky.social Statistician. Interests: clinical trials methods, psychology, MSK medicine, rheumatology, oncology, chronic pain, adaptive trials, outcomes, digital health/wearables, Open Research, Stata, R, and code ligatures.
https://orcid.org/0000-0002-1574-9933
Hüseyin Küçükali 🍉 @epi.ist Public Health Researcher at Utrecht University — preventing chronic diseases through urban environments. Also building @opencausal.org.
#Epidemiology #CausalInference #Exposome #HealthyCities
Open Causal @opencausal.org Open platform for sharing, discussing and reusing causal graphs.
Let's make FAIR assumptions!
https://opencausal.org
Ryan Batten, PhD(c) @ryanbatten.bsky.social - Biostatistician by trade
- PhD candidate in Clinical Epidemiology at Memorial University
- Love statistics & R!
- Area of expertise: causal inference using real-world data
Blog: www.causallycurious.com
Ashley Naimi @ashleynaimi.bsky.social Professor of Epidemiology, Emory University | Associate Editor, AJE | Editorial Board, Epidemiology |
Website: https://ainaimi.github.io/
Stephen Vaisey 🇺🇦 @stephenvaisey.com Professor at Duke University. Cultural evolution, political attitudes, social change, nerdy stuff in R. YNWA. https://vaiseys.github.io/
Ang Yu @ang-yu.bsky.social Assistant Professor in Social Science at Hong Kong University of Science and Technology. Causal inference methodologist. https://ang-yu.github.io/
Darren Dahly @statsepi.bsky.social Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats
Posts not for everyone ¯\_(ツ)_/¯
Views mine -> https://statsepi.substack.com/
Natalia Ortega @nataliaortega.bsky.social Postdoctoral Fellow in Nutritional Epidemiology at Brigham and Women's Hospital.
Thiago @csthiago.bsky.social Methodologist/Epidemiologist
London - UK
Donald Szlosek @dszlosek.bsky.social Biostatistician @IDEXX. @johnshopkins. Formerly @harvardmed, @BIDMChealth, @nasa. Real-world evidence, clinical trials, diagnostic validation. CoOrganizer BostonR. Mainer. he/him.
Society for Social Medicine & Population Health @socsocmed.bsky.social Advancing knowledge for population health https://socsocmed.org.uk/member-registration/
Danielle Navarro @djnavarro.net occasionally reasonable
Bennett Institute for Applied Data Science @bennettoxford.bsky.social Let's make better use of data, evidence & digital tools in healthcare & policy.
Will Hulme @wjchulme.bsky.social Epidemiologist, Bennett Institute, Oxford
Venexia Walker @venexia.bsky.social Epidemiologist. MRC Integrative Epidemiology Unit, University of Bristol / Perelman School of Medicine, University of Pennsylvania.
Leeds Institute for Data Analytics @lida-leeds.bsky.social Multidisciplinary data science and artificial intelligence at the University of Leeds. Follow us for the latest tech and data news, events and how to get involved.
https://lida.leeds.ac.uk/
Social Research Methods at Leeds @srmleeds.bsky.social We are based in the Faculty of Social Sciences at the University of Leeds (https://socialresearchmethods.leeds.ac.uk/). Our objective is to support the dissemination and adoption of innovative and rigorous research methods in the Social Sciences. 
Iván Redondo @ivanredondo.bsky.social Aita. Director de Gabinete Presidencia Gobierno de España (2018-2021). En Grupo Redondo y @LaVanguardia 🐶 redondo@gruporedondo.com
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
Ghazaleh Dashti @ghazalehd.bsky.social Snr Research Fellow in Biostatistics at Murdoch Children's Research Institute & UniMelb, research in causal inference & missing data methods, also in child/ adolescent/ intergenerational health, cancer, & social epidemiology (she/her)
On Wurundjeri land
Department of Biostatistics, Epidemiology & Informatics (DBEI) @dbei-upenn.bsky.social Perelman School of Medicine | University of Pennsylvania
dbei.med.upenn.edu
Zinzi Bailey @zinzinator.bsky.social Social epidemiologist @ University of Minnesota; Director, Interdisciplinary Research Leaders
#socialepisky #episky #medsky #jamaicansky 🇯🇲 #blacksky *TBTL ten*
Amstat-American Statistical Association @amstatnews.bsky.social The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
Georgios Karamanis @karaman.is Dataviz designer, psychiatrist, PhD
https://karaman.is
Big Book of R @bigbookofr.com 🤖 A collection of over 400 open-sourced, free #RStats books. This bot posts a random entry every few hours. Maintained by @oscarbaruffa.com
adam whalen, mph 🐳 @awhale.bsky.social phd candidate at columbia, social/spatial epidemiology of polysubstance use, transportation injury, SGM health. warriors basketball. perfect opinions. he/him
Tracy Lam-Hine (he/him) @lamhine.bsky.social Postdoc in Epidemiology & Population Health, Stanford University
lisa bodnar @lisabodnar.bsky.social shiny epi people podcast host | epidemiologist studying nutrition and perinatal health | mom of 3 | drinker of wine (see previous) | she/her
Anusha M. Vable @anushamvable.bsky.social Social Epidemiologist & Associate Professor
@WashU.
Details on my work here: https://schoolofpublichealth.washu.edu/people/anusha-vable/
Colleen Reynolds @colleenareynolds.bsky.social Postdoc @ErasmusMC.bsky.social | Former postdoc @ Harvard PopMed | PhD Epidemiology @Harvard Chan | Health equity researcher| queer | she/they
University of Washington School of Public Health @uwsph.bsky.social Official UW SPH | Working towards a world of healthy people 🌎💜 For more stories of our impact, visit sph.uw.edu or discover our channels @uwsph
Eric Lofgren @germsandnumbers.bsky.social Computational Epidemiologist and Associate Prof at WSU. Maker of artisinal, small-batch simulation models for the discerning infectious disease consumer. WoW and zombie epidemiology. Adopter of dogs. Not taking this terribly seriously. He/him.
UW Epidemiology @uwepidemiology.bsky.social The University of Washington Department of Epidemiology
travis gerke @travisgerke.bsky.social sometimes #dataBS #causalsky #statsky #episky #rstats but mostly yolo skeeting nonsense
StatsCI @statsci.bsky.social All about Statistical Methods in Clinical Trials and Good Statistical Practice in Healthcare Research at Imperial Clinical Trials Unit (ICTU), Imperial College London #StatsCI
www.statsci.co.uk
uai2026 @auai.org Association for Uncertainty in AI.
Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱
https://auai.org/uai2026
Alicia Curth @aliciacurth.bsky.social Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Cameron Patrick @cameronpat.bsky.social biostatistician @ University of Melbourne Statistical Consulting Centre. enjoyer of multiple imputation, RCTs, and DAGs. always graph your data. also runs, bikes, hikes, etc. he/him #BiInSci 🏳️🌈
https://cameronpatrick.com/
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
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
Roger D. Peng @rdpeng.org Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report
Richard Riley (R²) @richarddriley.bsky.social Professor of Biostatistics • BMJ Deputy Chief Stats Editor • Books: "Prognosis Research in Healthcare: concepts, methods & impact" & "IPD Meta-Analysis: A Handbook for Healthcare Research.." • Websites: www.ipdma.co.uk & www.prognosisresearch.com • Whovian
Brennan Kahan @brennankahan.bsky.social Principal Research Fellow in Medical Statistics at MRC Clinical Trials Unit at UCL. Clinical trials, estimands, estimation.
https://scholar.google.co.uk/citations?user=Lf0jsXAAAAAJ&hl=en&oi=sra
UCL Innovative Clinical Trials Unit @innovative-ctu.bsky.social We carry out innovative #ClinicalTrials and develop new #Methodology that has global impact, improving health worldwide.
#MedSky #StatsSky
Wake Forest Statistical Sciences @wakeforeststats.bsky.social Wake Forest Department of Statistical Sciences | Small Department, Big Impact
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
Daniela Witten @danielawitten.bsky.social dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
Emma Pierson @emmapierson.bsky.social Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement."
https://people.eecs.berkeley.edu/~emmapierson/
Ruth Keogh @ruthkeogh.bsky.social Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine. 
Adan Z. Becerra, PhD @adanbecerraphd.bsky.social 📊📉I am an epidemiologist interested in all things RWE, statistics, health economics, and technology. 🏥⚕️
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
Viktor H. Ahlqvist @ahlqvistviktor.bsky.social Epidemiology @Aarhus & @Karolinska
Paul Madley-Dowd @pmadleydowd.bsky.social Research Fellow in Medical Statistics and Health Data Science at the University of Bristol
Paloma Rojas-Saunero @palolili23.bsky.social Epidemiologist MD PhD | Amaru's mom | ella/she/her | postdoc l Bolivian
https://paloma-rojas-saunero.netlify.app/
Jeremy Labrecque @jeremylabrecque.bsky.social Epidemiologist and causal inference person at Erasmus Medical Center. Québécois living in Rotterdam.
jeremylabrecque.org
Michael Schomaker @mfschomaker.bsky.social Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV
michaelschomaker.github.io
Jeremy Brown @jeremypb.bsky.social Lecturer in Epidemiology
@kingscollegelondon.bsky.social
Naftali Weinberger @dagophile.bsky.social Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
Nick Williams @nickwillyamz.bsky.social Senior Data Analyst at Columbia University Epidemiology // Incoming Biostatistics PhD student at UC Berkeley
Zad Rafi (Sir Panda) @lesslikely.com Agnostic statistician (frequentist, bayesian, likelihoodist, fiducial) | Posts about statistics in medicine at http://lesslikely.com | | #StatsTwitter • #EpiTwitter • #RStats
Bingkai Wang @bingkai.bsky.social Assistant Prof @ Umich Biostat
Casual inference + health science
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
Wenbo Wu @wenbowu.bsky.social Assistant Professor at Johns Hopkins Bloomberg School of Public Health | AI | Machine Learning | Causal Inference | Data Science | Health Services Research | Aging | Kidney Disease | https://wenbowu.me
Alec McClean @alecmcclean.bsky.social Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
alex hayes @alexpghayes.com postdoc @ stanford econ + incoming assistant prof @ oregon state statistics. networks, causal inference, contagion, measurement error, #rstats. he/him
https://www.alexpghayes.com
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/
Matt Fox @mattpfox.bsky.social Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
Bryan D. James, PhD @bryandjames.bsky.social Epidemiologist, @rushalzheimers.bsky.social
Host, Epi Counts podcast https://serepidemiologycounts.blubrry.net/
Social media editor, American Journal of Epidemiology @amjepi.bsky.social
#EpiSky #Geronsky #ADRD #scicomm
Proud papa of three crazy kids
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/
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
Marco Carone @mcarone.bsky.social Professor of Biostatistics, University of Washington School of Public Health.
Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division.
Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science.
🇨🇦🇮🇹🇦🇲
Onyi Arah, MD, DSc, PhD @oacarah.bsky.social Professor
Practical Causal Inference Lab Co-Director
**Views are mine**
#Epidemiology #EpiSky #CausalInference #CausalSky #PublicHealth #StatsSky #Stats #Medsky
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
American Journal of Epidemiology @amjepi.bsky.social Founded in 1920 and owned by Johns Hopkins Bloomberg School of Public Health.
Matt Blackwell @mattblackwell.bsky.social data, experiments, evals @Google. opinions my own.
political scientist 4 life
https://mattblackwell.org
Sherri Rose @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
Society for Epidemiologic Research @societyforepi.bsky.social Established in 1968 to foster epidemiologic research, the Society for Epidemiologic Research is the oldest and largest general epidemiology society in North America.
Maria Glymour @mariaglymour.bsky.social Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
Caleb Miles @calebhmiles.bsky.social Assistant professor of biostatistics at Columbia University
Casual inference, statistics, etc
Pauca sed Matura
Kara Rudolph @kararudolph.bsky.social Associate professor at Columbia University
Epidemiology, causal inference, addiction medicine
https://kararudolph.github.io/
La Vanguardia @lavanguardia.com Rigor, calidad, compromiso. Suscríbete al periodismo responsable: http://bit.ly/3unbQrY
Malcolm 朝精 Barrett @malcolmbarrett.malco.io Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
Tom Yates @tomayates.bsky.social Epidemiology, infection
https://profiles.ucl.ac.uk/37299-tom-yates/about
Data & Statistical Science for Health, LSHTM @lshtm-dash.bsky.social Bringing together data science expertise across LSHTM to tackle the biggest global health problems.
Nicola Rennie @nrennie.bsky.social 📊 #DataViz specialist.
💻 #RStats | #Python | #D3.
🎨 Generative artist.
🏃♀️ Runner.
Website: https://nrennie.rbind.io/
She/her. Views my own.
Mine Çetinkaya-Rundel @minecr.bsky.social she/her
professor at duke university + developer educator at posit
cat videos = instant smiles
https://mine-cr.com
https://fosstodon.org/@minecr
Maarten van Smeden @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
Ryan Holiday @ryan-holiday.bsky.social NYT Bestselling Author of The Obstacle Is The Way, The Daily Stoic, Ego Is The Enemy, Stillness Is The Key, and more.
Pre-order my newest book: dailystoic.com/wisdom
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/
Daniel Lakens @lakens.bsky.social Metascience, statistics, psychology, philosophy of science. Eindhoven University of Technology, The Netherlands. Omnia probate. 🇪🇺
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/
Amanda Kay Montoya @akmontoya.bsky.social Associate professor of quantitative psychology at UCLA. Data analysis, research methods, statistics, psychology, teaching. 
Jonathan Bartlett @jonathan-bartlett.bsky.social Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
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
Harvard Epidemiology @harvardepi.bsky.social The official account of the Harvard T.H. Chan School of Public Health Department of Epidemiology | Our YouTube: http://goo.gl/3JZ4wR
Joy Shi @joy-shi.bsky.social Investigator @mgbresearch.bsky.social and @causalab.bsky.social. Interested in epidemiology, causal inference and pedagogy.
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
Kelly Van Lancker @kellyvanlancker.bsky.social Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com