Peter Tennant @pwgtennant.bsky.social Epidemiologist. Causal inference researcher and trainer. Currently visiting @yalesph.bsky.social
See my Intro to Causal Inference Course: https://www.causal.training/
See the Causal Inference Interest Group: https://ciig-seminar.github.io
Dr Ellie Murray, ScD @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
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/
Jeffrey Wooldridge @jmwooldridge.bsky.social Econometrics professor and author. Dogs = 2, cats >= 10.
Julia M. Rohrer @dingdingpeng.the100.ci Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
Matt Blackwell @mattblackwell.bsky.social data, experiments, evals @Google. opinions my own.
political scientist 4 life
https://mattblackwell.org
Vincent Arel-Bundock @vincentab.bsky.social Prof. Most tweets about R. “Polisci, it’s all about what’s going on.”
http://arelbundock.com
Jacob Montgomery @jacobmontgomery.bsky.social Political (Data) Scientist at Washington University in St. Louis. Data science, social media, American politics, and grumpy Bayesian. All opinions my own.
Dean Eckles @eckles.bsky.social networks, contagion, causality
faculty at MIT
Pedro Sant’Anna @pedrosantanna.bsky.social Associate Professor at Emory University.
Causal Inference | Difference-in-Differences | Econometrics. Dad x4
Anton Strezhnev @astrezh.bsky.social Assistant Professor, UW-Madison Political Science. http://www.antonstrezhnev.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
Cyrus Samii @cdsamii.bsky.social NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
Will Lowe @conjugateprior.org Señor Research Scientist, NPC at the Hertie School in Berlin 🇩🇪 via Princeton, Mannheim, Edinburgh and a bunch of other ivory towers that will probably be billiard balls and decorative boxes by the end of the decade.
Rome Statute appreciator.
Dan Hopkins @dhopkins1776.bsky.social Political scientist at the University of Pennsylvania. Prof: http://goo.gl/qAOlH9 538: http://goo.gl/1iwZJs 
Susan Athey @susanathey.bsky.social Economist
Macartan Humphreys @macartan.bsky.social WZB Berlin, Humboldt University, TCD
https://macartan.github.io/
Politics, conflict, inequality, political economy of development, causal inference 
Stephen Wild @stephenjwild.bsky.social I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement. 
Vitor Possebom @vitorpossebom.bsky.social Assistant Professor at Sao Paulo Schools of Economics (FGV). Ph.D. 2022 at Yale. Passionate about Econometrics, especially Causal Inference. (He/his)
https://sites.google.com/site/vitorapossebom/
apoorva lal @apoorvalal.com causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
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
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
Brandon Stewart @bstewart.bsky.social Associate Professor of Sociology, Princeton
http://brandonstewart.org/
Danny Hidalgo @dhidalgo.bsky.social Political Scientist at MIT. Academic focus is on Latin American politics. Advocacy focus is on housing policy in Cambridge, MA and beyond.
Winston Lin @linstonwin.bsky.social senior lecturer in statistics, penn
NYC & Philadelphia
https://www.stat.berkeley.edu/~winston
Molly Offer-Westort @mollyow.bsky.social Assistant Professor of Political Science | University of Chicago
angela zhou @angelamczhou.bsky.social assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
Noah Greifer @noahgreifer.bsky.social Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him
ngreifer.github.io- B Betsy Ogburn @betsyogburn.bsky.social statistics & causal inference
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/
Melody Huang @melodyyhuang.bsky.social Currently @ Yale, working on causal inference & cutting down on caffeine.
Website: melodyyhuang.com
Maria Cuellar @mcuellar.bsky.social Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
Michael Cooper @coopermj.bsky.social 
Andrew Heiss @andrew.heiss.phd Assistant professor at Georgetown University in Qatar (formerly GSU, BYU). Study NGOs, human rights, international politics, causal inference, and stats. 6 kids.
#rstats forever.
andrewheiss.com
Signal: andrewheiss.01
Maria Glymour @mariaglymour.bsky.social Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
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.
Lucy D’Agostino McGowan @lucystats.bsky.social Biostatistician • Associate Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
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
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
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
Jess Edwards @edwardsjk.bsky.social Epidemiologist; 🚲🏔️
Daniel Westreich @epidbydesign.bsky.social Epidemiologist, writer, bon vivant. Professor @UNC (opinions my own); co-PI of STAR Cohort; "Morpheus of the Table 2 Fallacy.” He/him.
Matt Fox @mattpfox.bsky.social Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
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
Sean J Taylor @seanjtaylor.com Data Science, Causal Inference, Economics, Statistics and Machine Learning
Two joys in life:
[1] Learning something interesting about the world
[2] Telling people about it
Model Measurement @OpenAI
Louisa Smith @louisahsmith.bsky.social 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 🐶🚴♀️🏔️🎗️
Elizabeth Stuart @lizstuart.bsky.social Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Eric Polley @ecpolley.bsky.social Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
Guilherme Duarte @guilhermeduarte.bsky.social Postdoc researcher, incoming Assistant Professor (@Harvard -- Government). PhD (@Wharton - @Penn). interests: causality, ML
Martin Huber @causalhuber.bsky.social Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
Paul Hünermund @p-hunermund.com Professor of Empirical Economics & Data Science at TU Munich | Heilbronn Data Science Center (HDSC) | Co-founder of causalscience.org
http://www.p-hunermund.com
Aleksander Molak @alxndrmlk.bsky.social "The Causal Guy" http://causalpython.io
Author || Advisor || Educator
Host at http://CausalBanditsPodcast.com
Causal ML Tutor @ Uni of Oxford
CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
Causalscience.org @causalscience.org Fostering a dialogue between industry and academia on causal data science.
Causal Data Science Meeting 2025: causalscience.org
Internet Archive @archive.org Internet Archive is a non-profit research library preserving web pages, books, movies & audio for public access. Explore web history via the Wayback Machine. 
Bluesky @bsky.app official Bluesky account (check username👆)
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