@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@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
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@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
@paulgp.com
Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
@khoavuumn.bsky.social
@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
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@dliebl.com
www.dliebl.com Professor of Statistics at Uni Bonn From 🥨🏔️🍻-Land. Economist socialized as nonparametric statistician #statistics #statsky #econsky #rstats
@cavalieregiu.bsky.social
Professor of #Econometrics @Unibo & @UniofExeter. Co-Editor of @JEconometrics. Dadx2, ECMAx4. Tireless traveler.
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@janmarcus.de
Professor for Applied Statistics, Freie Universität Berlin; education and health economist; table tennis player http://janmarcus.de
@philippbach.bsky.social
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
@tymonsloczynski.bsky.social
Assistant Professor of Economics at Brandeis University, interested in microeconometrics, applied econometrics, causal inference, and economic history. Personal website: https://tslocz.github.io/
@dlangenmayr.bsky.social
Economist working mostly on tax topics; Professor of Economics, esp. Public Finance, at KU Eichstätt-Ingolstadt; Mom of 2. Hobbies: 🧶🥾⛷️
@petereppinger.com
Economist @Uni Tübingen, CESifo. Trade, Multinationals, Labor markets, Networks petereppinger.com
@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
@lagedernation.org
Lage der Nation - der wöchentliche Politik-Podcast mit Philip Banse & Ulf Buermeyer @Buermeyer.de Jetzt Lage-Mitglied werden und unabhängigen Journalismus unterstützen: https://lagedernation.org/plus
@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
@darkhangel.bsky.social
PhD at Stanford GSB; Associate Professor at @cemfi.bsky.social, Madrid; Research Affiliate at @cepr.org
@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
@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
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]