Epidemiologist interested in causal inference. Currently Visiting Faculty at @yalesph.bsky.social.
See my Intro to Causal Inference Course: https://www.causal.training/
See the Causal Inference Interest Group: https://cls-data.github.io/CIIG/
#EpiSky
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Econometrics professor and author. Dogs = 2, cats >= 10.
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
data, causal inference, experiments, politics
https://mattblackwell.org
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.”
http://arelbundock.com
Political (Data) Scientist at Washington University in St. Louis. Data science, social media, American politics, and grumpy Bayesian. All opinions my own.
networks, contagion, causality
faculty at MIT
Associate Professor at Emory University.
Causal Inference | Difference-in-Differences | Econometrics. Dad x4
Assistant Professor, UW-Madison Political Science. http://www.antonstrezhnev.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
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.
Political scientist at the University of Pennsylvania. Prof: http://goo.gl/qAOlH9 538: http://goo.gl/1iwZJs
WZB Berlin, Humboldt University, TCD
https://macartan.github.io/
Politics, conflict, inequality, political economy of development, causal inference
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
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/
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.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
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Associate Professor of Sociology, Princeton
http://brandonstewart.org/
Political Scientist at MIT. Academic focus is on Latin American politics. Advocacy focus is on housing policy in Cambridge, MA and beyond.
senior lecturer in statistics, penn
NYC & Philadelphia
https://www.stat.berkeley.edu/~winston
Assistant Professor of Political Science | University of Chicago
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
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
statistics & causal inference
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Currently @ Yale, working on causal inference & cutting down on caffeine.
Website: melodyyhuang.com
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
Assistant professor at Georgia State University, formerly at BYU. 6 kids. Study NGOs, human rights, #PublicPolicy, #Nonprofits, #Dataviz, #CausalInference.
#rstats forever.
andrewheiss.com
Signal: andrewheiss.01
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
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.
Biostatistician • Associate Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
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
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
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
Epidemiologist, writer, bon vivant. Professor @UNC (opinions my own); co-PI of STAR Cohort; "Morpheus of the Table 2 Fallacy.” He/him.
Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
postdoc @ stanford econ + incoming assistant prof @ oregon state statistics. networks, causal inference, contagion, measurement error, #rstats. he/him
https://www.alexpghayes.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
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 🐶🚴♀️🏔️🎗️
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
Postdoc researcher, incoming Assistant Professor (@Harvard -- Government). PhD (@Wharton - @Penn). interests: causality, ML
Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
Associate Professor of Strategy & Innovation | Co-founder of causalscience.org | Associate Editor at Journal of Causal Inference | Executive Team at Academy of Management TIM Division
"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
Fostering a dialogue between industry and academia on causal data science.
Causal Data Science Meeting 2025: causalscience.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.
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app
