Adam Smith
Assistant Professor of Marketing
UCL School of Management
www.adamnsmith.com
@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.
@astrokatie.com
Cosmologist, pilot, author, connoisseur of cosmic catastrophes. TEDFellow, CIFAR Azrieli Global Scholar. Domain verified through my personal astrokatie.com website. She/her. Dr. Personal account; not speaking for employer or anyone else.
@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
@ankitsisodia.bsky.social
Now: AP @Purdue. Past: PhD @Yale, MBA @IIMAhmedabad, EE @IITBHU_Varanasi, High School @DPSNoida. Worked @TCS, @StarIndia, @Myntra. Heart @Bombay and @Goa.
@neorsd.org
yes, really the Northeast Ohio Regional Sewer District in cleveland, ohio. Customer Relations: 216.881.8247 https://www.neorsd.org/social
@alexpghayes.com
incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
@andrew.heiss.phd
Assistant professor at Georgia State University, formerly at BYU. 6 kids. Study NGOs, human rights, #PublicPolicy, #Nonprofits, #Dataviz, #CausalInference. #rstats forever. andrewheiss.com Signal: andrewheiss.01
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@chrisalbon.com
Director of Machine Learning at the Wikimedia Foundation. We host Wikipedia.
@kareemcarr.bsky.social
Stats PhD student @Harvard • My posts are a cool, refreshing breeze of nerdy content crafted for a broad audience. Follow me to enter the nerd space safe.
@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
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@solomonkurz.bsky.social
Clinical psychology researcher | applied statistics geek | so called #RStats influencer
@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
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@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
@maibennett.com
Asst Professor at @UTAustin working on causal inference. The Anna Wintour of slide decks. If you have something to say, say it with a nice plot #rstats
@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
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@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
@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
@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
@gemoran.bsky.social
Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@aeadata.bsky.social
Data editor for the American Economic Association - for official guidance, always go to http://aeaweb.org and https://aeadataeditor.github.io. Does not follow persons (sorry)
@stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
@theifs.bsky.social
Official account for Britain’s leading independent economic research institute. https://ifs.org.uk/
@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
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@maxkasy.bsky.social
Econ prof at Oxford. Machine learning, politics, econometrics, inequality, random reading recs. maxkasy.github.io/home/
@economeager.bsky.social
Aspiring wastrel, applied econometrician. At http://rachaelmeager.com for bayes, dev econ and meta science. Also at http://rottenandgood.substack.com for writing, art, death and emotions. Gay academic nonbinary weirdo, cursed to be serious in life.
@dynarski.bsky.social
Economist & Prof at Harvard | First-gen college grad | Education, economics, inequality | Shitposts are in a Boston accent | former union organizer NYT Columns https://bit.ly/3TbaxXV https://linktr.ee/susan.dynarski www.susandynarski.com
@richardblundell.bsky.social
Ricardo Professor of Political Economy, @EconUCL http://ucl.ac.uk/~uctp39a/ Co-Director ESRC Research Centre, @TheIFS http://ifs.org.uk/inequality/
@jschneebacher.bsky.social
Economist at the UK Competition and Markets Authority. Interested in firms, productivity, markets, management and growth. Previously at ONS, Nuffield College Oxford. All views my own.
@briancalbrecht.bsky.social
Applied economic theorist: competition and information. Chief Economist @LawEconCenter Price Theory Newsletter http://pricetheory.substack.com.
@dacemoglumit.bsky.social
Institute Professor, MIT Economics. Co-Director of @mitshapingwork.bsky.social. Author of Why Nations Fail, The Narrow Corridor, and Power & Progress.
@heidiwilliams.bsky.social
professor @dartmouth + science policy @ifp // leveraging research to promote science and progress