Neil Shephard
Econometrician. Professor of Economics and Professor of Statistics, Harvard University. Frank B. Baird Jr, Professor of Science
@nickkristof.bsky.social
New York Times columnist, author, backpacker and Oregon farmer. Always reporting on the ground. Trying to help democracy prevail and distracting myself by making great wine and cider at KristofFarms.com.
@mark-carney.bsky.social
Prime Minister of Canada and Leader of the Liberal Party | Premier ministre du Canada et chef du Parti libéral markcarney.ca
@crampell.bsky.social
MSNBC anchor/co-host of The Weekend: Primetime, Sat/Sun 6-9pm. Washington Post syndicated op-ed columnist. Econ, politics, immigration, tax, etc. + occasional theater nerdery.
@adamjohansen.bsky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
@wgrumblepants.bsky.social
IPad cricket artist who spends too much time on social media. Can’t bat, bowl or catch 🎨🏏 Also a We Have Way IC member (Duxford Big Wing) and one of the Afflicted 🇺🇦 #Warshippery #Rearm https://linktr.ee/WG_RumblePants #cricket
@sherlockpholmes.bsky.social
Statistician,Mother,Prof,Grandmother(she/her)🇫🇷🇵🇹🇺🇸🧪. 🖋️with @wkhuber.bsky.social:Modern Statistics for Modern Biology (https://www.huber.embl.de/msmb/) #stats,#rstats.OSS,arXiv, microbial ecology,cytof,multi-omics,Bioconductor:phyloseq, DADA2
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@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
@robjhyndman.com
Professor of Statistics, Monash University, Australia. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
@lmiratrix.bsky.social
Associate professor at the Harvard Graduate School of Education. Works on statistical methodology, causal inference, text as data, randomized experiments, and sometimes bad prose and poetry.
@minedogucu.com
minedogucu.com • teaching stats & data science by day • reading and writing stories by night • she/they/o/او • views my own • datapedagogy.com • bayesrulesbook.com • posts mostly about data science and education but also life things • 📍 Los Angeles
@minecr.bsky.social
she/her professor at duke university + developer educator at posit cat videos = instant smiles https://mine-cr.com https://fosstodon.org/@minecr
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@rafalab.bsky.social
Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.
@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
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@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
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@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
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@jeffski.bsky.social
Professor of Statistics at the University of Toronto, Canada, and author of "Struck by Lightning". Info at: http://probability.ca
@jondr44.bsky.social
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@bostonglobe.com
New England's leading source for breaking news and analysis. bostonglobe.com
@hcrcs.bsky.social
Harvard Center for Research on Computation and Society (CRCS) advances the public good through collaboration between computational research and social science. https://crcs.seas.harvard.edu/ It's pronounced CRCS 🎪🐘
@hos-asa.bsky.social
The ASA History of Statistics Interest Group brings together everyone with an active interest in the history of statistics to share research and resources.
@fjrubio.bsky.social
Lecturer at the Department of Statistical Science of UCL. All opinions my own. 🇲🇽🇬🇧 https://sites.google.com/site/fjavierrubio67/ #rstats #JuliaLang #Bayesian #Statistics #Biostatistics
@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
@mmaggiori.bsky.social
Economist working on international macroeconomics and finance. Prof at Stanford University GSB. Co-founder www.globalcapitalallocation.com
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@isba-bayesian.bsky.social
The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications. https://bayesian.org
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@resmedia.bsky.social
Promoting economics. Supporting economists. Improving diversity.
@dacemoglumit.bsky.social
Institute Professor, MIT Economics. Co-Director of @mitshapingwork.bsky.social. Author of Why Nations Fail, The Narrow Corridor, and Power & Progress.
@ourworldindata.org
Research and data to make progress against the world’s largest problems. Based out of Oxford University (@ox.ac.uk), founded by @maxroser.bsky.social.
@jonsteinsson.bsky.social
Economics professor at UC Berkeley. https://eml.berkeley.edu/~jsteinsson/
@marnoverbeek.bsky.social
Professor of Finance, Rotterdam School of Management, Erasmus University. Interested in mutual funds, hedge funds, panel data, applied econometrics.
@s-stantcheva.bsky.social
@goolsbee.bsky.social
Chicago diehard. President & CEO of the Chicago Fed, econ prof Chicago Booth School, former Chairman of the Council of Economic Advisers. I do not speak for the Fed or others on the FOMC
@annavignoles.bsky.social
Director of the Leverhulme Trust and Fellow of British Academy. Formerly Professor of Education. All views are my own and retweets do not suggest endorsement.