Causal Inference
Just some good, DAG-loving citizens (and the occasional skeptic)
Created by
@p-hunermund.com
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
@cfbalcazar.bsky.social
Asst. Prof. at UCL. International Political Economy, with a focus on (digital) trade, technological change, collective action, policy and inequality. https://cfbalcazar.github.io/
@ykims.bsky.social
Education researcher interested in causal inference & DAGs | Seoul National University
@vivianodavide.bsky.social
Assistant Professor at Harvard Econ. Previously: postdoc at Stanford GSB and UCSDEcon Phd. Econometrics and Data Science. Website: dviviano.github.io
@jnwulff.bsky.social
Professor @AarhusUni doing research on organizational research methods and teaching deep neural networks in our Msc. BI program. https://sites.google.com/view/jesperwulff/bio
@ericbschneider.bsky.social
Professor of Economic History at LSE studying health, demography, living standards and economic growth; working on global historical child stunting. Website: www.ericbschneider.com
@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
@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/
@sbuhai.bsky.social
Academic economist. Bon vivant. "Enfant terrible". Website: https://sebastianbuhai.com Twitter: https://twitter.com/sbuhai Mastodon: https://mastodon.social/@sbuhai Threads: https://www.threads.net/@sebastianbuhai
@boryslaw.bsky.social
Intro to causal inference for psychologists: https://czasopisma.uwm.edu.pl/index.php/pp/article/view/9731/7171 A causal-theoretic definition of measurement invariance (see p. 14): + A new ordinal regression family https://osf.io/preprints/psyarxiv/e7a3x
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@amandaweiss.bsky.social
PhD Candidate in Political Science at Yale & Incoming Assistant Professor at Cornell. Methodology, often policy-oriented. www.amandakweiss.com Opinions my own, reposts not (necessarily) endorsements, etc.
@lstoetze.bsky.social
Professor for Quantitative Methods. Witten/Herdecke University. Interested in comparative political behavior and quantitative methods. https://lukas-stoetzer.org
@astrezh.bsky.social
Assistant Professor, UChicago Political Science. http://www.antonstrezhnev.com
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@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
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@jlrohmann.bsky.social
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform @ Charité in #Berlin Likes: improving science & improv comedy #EpiSky #Epidemiology #HigherEd #AcademicSky
@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.
@prashantgarg.bsky.social
Econ PhD @imperial. Visiting researcher at IFC and Cambridge. AI and networks in economics. www.prashantgarg.org
@tobigerstenberg.bsky.social
Tea drinking assistant professor of cognitive psychology at Stanford. https://cicl.stanford.edu
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@felixthoemmes.bsky.social
@mp-grosz.bsky.social
Professor of Psychological Assessment at HMU Health & Medical University Potsdam (Germany). Research interests: personality, social status & causal inference
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@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
@djvanness.bsky.social
Economist; professor; health evaluation and decision science. Advocate for high quality, affordable higher education as a public good. Personal views. #AcademicSky #EconSky #Bayesian https://orcid.org/0000-0002-9790-2988
@fusaroli.bsky.social
Cognitive Science at Aarhus Uni. Curious about social interactions, symbolic behaviors, and meta-science. Focus on stats, computational modeling, machine learning, complex systems, language, exp semiotics and neuropsychiatric conditions. He/They.
@jeremylabrecque.bsky.social
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk. jeremylabrecque.org
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@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.
@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.
@giovannimellace.bsky.social
Professor at the University of Southern Denmark and chairperson of the Econometrics and Data Science research platform. I work on Causal Inference.
@rmkubinec.bsky.social
Political scientist University of South Carolina. Interests: business politics/corruption, Middle East, measurement, Bayesian statistics The Bayesian Hitman: https://a.co/d/e4QmtKo Website: www.robertkubinec.com
@steveberry.bsky.social
Empirical study of firms and markets, including models used for policy analysis. Yale Econ, Cowles, and faculty director of the Tobin Center.
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@jermainkaminski.bsky.social
Assistant Professor in Entrepreneurship & Innovation 🇳🇱 Maastricht University. Writing about entrepreneurs and (causal) machine learning. UWH, RWTH, MIT. Co-Founder http://causalscience.org, Team @AOM_TIM.
@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
@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
@michelnivard.bsky.social
Professor of Genetic Epidemiology, University of Bristol at: uob-ieu@bsky.social
@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/
@ruben.the100.ci
Bayescurious evidence enthusiast at the100.ci Topics: evolution, ovulation, mutation, intelligence, personality, sexuality, R, open science & source tools. https://rubenarslan.github.io/
@malte.the100.ci
Professor at Uni Bern Meta Science ⸾ Research Methods ⸾ IT Security & Privacy ⸾ Problem Solving ⸾ Media Effects. https://the100.ci & @error.reviews
@conjugateprior.org
Señor Research Scientist, an 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.
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@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
@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
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@dlmillimet.bsky.social
Robert H. & Nancy Dedman Trustee Prof of Econ at @SMU, husband, son, proud papa, baseball junkie, animal enthusiast, proudly woke. http://people.smu.edu/dmillimet/ https://dlm-econometrics.blogspot.com/
@emilyriederer.bsky.social
Here for data, data science, analytics engineering, rstats, books
@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 Data Science @OpenAI
@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
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@beyerslouw.bsky.social
Assistant Professor | RSM Erasmus University 🇳🇱 #causality #decisionmaking #uncertainty #bayesianlogic
@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
@p-hunermund.com
Professor of Technology and Economic Policy | Co-founder of causalscience.org | Associate Editor at Journal of Causal Inference | Executive Team at Academy of Management TIM Division