EMD @arnovich.bsky.social Founder at www.inferlabs.io
Working mainly on agents nowadays.
Like everything stats, maths, science and computers.
Also a big fan of cycling, running, piano and all things Lego.
Some personal stuff at www.eriksfunhouse.com
Causalscience.org @causalscience.org Fostering a dialogue between industry and academia on causal data science.
Causal Data Science Meeting 2025: causalscience.org
The c in causal stands for Cory @coryfromphilly.bsky.social Data scientist working on online experimentation @gopuff. Interests: housing, economics & data. Second welfare theorem and social justice. Views not employer's.
Álvaro Parafita @aparafita.bsky.social Senior Researcher at Barcelona Supercomputing Center | PhD in Causal Estimation with estimand-agnostic frameworks, working on Machine Learning Explainability
Github: @aparafita
Naftali Weinberger @dagophile.bsky.social Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
Rob Donnelly @robdonnelly47.bsky.social Data Science at OpenAI
Stanford GSB Economics PhD
Micah G. Allen @micahgallen.com Professor of Computational Neuroscience and Psychiatry, Aarhus University. PI @ the Embodied Computation Group. We study perception, interoception, & metacogniton.
https://www.the-ecg.org
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
www.ar-tiste.xyz @rrtucci.bsky.social We love Bayesian Networks and Causal Inference
Marc Dotson @marcdotson.com Causal Inference | Bayesian Statistics | Machine Learning // Husband, father, Latter-day Saint, assistant professor of data analytics, nerd.
Blog: occasionaldivergences.com | GitHub: github.com/marcdotson
Michael Knaus @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
Ami Wulf @damiwulf.bsky.social Data Science @ Etsy, Stats PhD from UCLA, causal inference, publishing under David Ami Wulf
Christoph @christph.bsky.social Statistics, machine learning, causal inference, health
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
ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social posts updates from arXiv rss feeds for methodology papers in Statistics and Econometrics. Also maintains an arxiv and posts random papers from it.
maintainer: @apoorvalal.com
source code: https://github.com/apoorvalal/bsky_paperbot
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
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
Christoph Molnar @christophmolnar.bsky.social Author of Interpretable Machine Learning and other books
Newsletter: https://mindfulmodeler.substack.com/
Website: https://christophmolnar.com/
Philipp Bach @philippbach.bsky.social Assistant Professor (Juniorprofessor) of Econometrics; FU Berlin; Interests: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
Jessica Schrouff @jessicaschrouff.bsky.social Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
🔥囧Robert Osazuwa Ness囧🔥 @osazuwa.bsky.social
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
Charles Assaad @charlesassaad.bsky.social Junior professor and Inserm chair | Head of the CIPHOD team | Causal Inference + Causal Discovery + Root Cause Analysis
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
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
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
HAM: Sculptures (Bot) @hamsculptures.bsky.social Sharing Sculptures from Harvard Art Museums - Fogg, Busch-Reisinger, and Arthur M. Sackler museums.
Automated #artbot thanks to @andreitr.bsky.social and @botfrens.bsky.social
MoMA Paintings and Sculpture @moma.bsky.social Art from the MoMA's Paintings and Sculpture collection.
The Museum of Modern Art (MoMA) is an art museum located in New York City. #artbots by @nuwaves-future.bsky.social
https://www.moma.org
Bluesky @bsky.app official Bluesky account (check username👆)
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