Tom Carpenter, PhD
🧪 Data science, survey science, social science
💻 Director of Data Science @ Microsoft Garage
[Posts do not represent my employer]
🧮 Stats, R, python
📝 Science, Research: measurement, social biases, emotion. Ex-academic but scientist at heart
@rpsychologist.com
Mostly stats, visualization, open science, and psychotherapy. https://rpsychologist.com
@singmann.bsky.social
Associate Professor at UCL Experimental Psychology; math psych & cognitive psychology; statistical and cognitive modelling in R; German migrant worker in UK
@xmjandrews.bsky.social
Associate professor of statistical methods, Psych Dept, Nottingham Trent University. Statistics, Data science, Bayesian methods, R, Python, Open science, etc.
@rss-teach.bsky.social
Royal Statistical Society Section for Teaching Statistics. The views here reflect the author and not necessarily the Royal Statistical Society.
@dominiquemakowski.bsky.social
Neuropsychologist & pizza lover 🍕 Lecturer at the University of Sussex. Research on reality bending, consciousness, illusions ✨ #rstats #python #julia
@drmankin.bsky.social
Senior lecturer in Psychology at Uni Sussex. Just really hype about #rstats tbh. she/they
@rosenetwork.bsky.social
Researchers of Statistics Education Network. An inclusive, global community for statistics education researchers & scholars. Owner of the #StatsEd feed. RoSE eConference - 31st July 2025. Check us out: www.rose-network.org.
@psyteachr.bsky.social
Creating open materials for teaching reproducible research https://psyteachr.github.io
@matthewfacciani.bsky.social
Social Scientist @NotreDame. Studies misinformation, media literacy, & AI. Author of Misguided: https://cup.columbia.edu/book/misguided/9780231555814/ https://matthewfacciani.substack.com www.matthewfacciani.com
@profandyfield.com
The stats book guy. Metal fan masquerading as Prof of Quantitative Methods. Learn R with the discovr package. (http://discovr.rocks/discovr/).
@beyerslouw.bsky.social
Assistant Professor | RSM Erasmus University 🇳🇱 #causality #decisionmaking #uncertainty #bayesianlogic
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@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/
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
@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
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.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/
@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
@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
@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.
@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.
@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.
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@jeremylabrecque.bsky.social
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk. jeremylabrecque.org
@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
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@tobigerstenberg.bsky.social
Tea drinking assistant professor of cognitive psychology at Stanford. https://cicl.stanford.edu
@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.
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@astrezh.bsky.social
Assistant Professor, UChicago Political Science. http://www.antonstrezhnev.com
@lstoetze.bsky.social
Professor for Quantitative Methods. Witten/Herdecke University. Interested in comparative political behavior and quantitative methods. https://lukas-stoetzer.org
@amandaweiss.bsky.social
Incoming Assistant Professor, Cornell Department of Government. Methodology, often policy-oriented. www.amandakweiss.com Opinions my own, reposts not (necessarily) endorsements, etc.
@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
@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
@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/
@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
@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
@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
@vivianodavide.bsky.social
Assistant Professor at Harvard Econ. Previously: postdoc at Stanford GSB and UCSDEcon Phd. Econometrics and Data Science. Website: dviviano.github.io
@ykims.bsky.social
Education researcher interested in causal inference & DAGs | Seoul National University