Alec McClean
Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
@ariadnerivera.bsky.social
Epi PhD Candidate Interests in causal inference, social epi, policy evaluation, dev economics.
@simonwillison.net
Independent AI researcher, creator of datasette.io and llm.datasette.io, building open source tools for data journalism, writing about a lot of stuff at https://simonwillison.net/
@dieworkwear.bsky.social
Menswear writer. Editor at Put This On. Words at The New York Times, The Washington Post, The Financial Times, Esquire, and Mr. Porter. If you have a style question, search: https://dieworkwear.com/ | https://putthison.com/start-here/
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@andifugard.info
Senior Director at @veriangroup.com, leading the Quantitative Impact Evaluation Hub. London-based. They/them. Personal account – views mine. Posts auto delete after a month. Mastodon: https://sciences.social/@andi Web: https://andifugard.info/
@jmgran.bsky.social
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@juhakarvanen.bsky.social
Professor of Statistics at University of Jyväskylä. Interested in causal models, study design, and missing data. Homepage: http://users.jyu.fi/~jutakarv/
@khoavuumn.bsky.social
@astrezh.bsky.social
Assistant Professor, UChicago Political Science. http://www.antonstrezhnev.com
@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
@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
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@jonathanhaidt.bsky.social
Social psychologist at NYU-Stern, working to roll back the phone-based childhood. Please visit anxiousgeneration.com & afterbabel.com
@jacobedenhofer.bsky.social
BA, PPE @warwickuni / MPhil, Comparative Government @UniofOxford / DPhil student in Politics @NuffieldCollege & @Politics_Oxford Link to my blog “Often wrong, but sometimes useful”: https://jacobedenhofer.substack.com/
@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
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@dkthomp.bsky.social
Staff writer at The Atlantic. Host of Plain English podcast. Books.
@vivianodavide.bsky.social
Assistant Professor at Harvard Econ. Previously: postdoc at Stanford GSB and UCSDEcon Phd. Econometrics and Data Science. Website: dviviano.github.io
@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
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
@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
@alexpghayes.com
incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
@bestofecontwitter.bsky.social
Home of the "Best of #Econtwitter" (& #econsky) newsletter https://www.bestofecontwitter.com/
@aleixrvr.bsky.social
PhD in mathematics. Author of "Causal Inference for Data Science"
@basilhalperin.com
Postdoc @ Stanford Digital Economy Lab. AP @ UVA from fall 2025 basilhalperin.com
@achatton.bsky.social
Postdoctoral researcher at Université Laval. PhD in Biostatistics. Causal inference - Casual chess. 🇫🇷🇪🇺 living in lovely 🇨🇦
@panzhao.bsky.social
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
@avifeller.bsky.social
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@mschauer.bsky.social
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
@jungholee.bsky.social
PhD student in Statistics & Data Science at CMU Causal inference, machine learning, nonparametric statistics with applications to social science jungholeestat.github.io
@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
@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
@paulgp.com
Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@jugander.bsky.social
Associate Professor, Stanford MS&E. Visiting Yale FDS '24-'25. Social networks, social and behavioral data, causal inference, mountains. www.stanford.edu/~jugander/
@mcuellar.bsky.social
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.