@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/
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io
@allisonhorst.bsky.social
DevRel @observablehq.com, previously teaching faculty (Environmental Data Science) at UC Santa Barbara. PhD, Environmental Science and Management. Data science | R | data visualization | education | art | www.allisonhorst.com
@apreshill.com
apreshill.com Product + Open Source + 1/3 of palmerpenguins team 🐧 VP of Product @ Anaconda Previously: RStudio / IBM / Voltron Data / OHSU
@daphna.bsky.social
Associate Prof of Applied Stats at NYU ASH/PRIISM. PI: NYU Queer Data Lab. she/her 🏳️🌈
@avifeller.bsky.social
@omaclaren.bsky.social
I use mathematics, computation, statistics, & machine learning to help think about biology, engineering, & other things. University of Auckland, NZ. Research: http://tinyurl.com/ojmscholar, Teaching: https://tinyurl.com/ojmteaching
@joepowers16.bsky.social
Behavioral Data Scientist interested in experimentation, causal inference, and workflow.
@statstipton.bsky.social
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
@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 🗽
@jgyou.bsky.social
Assistant professor of Statistics and Complex systems at UVM. Lab: https://joint-lab.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
@rohanalexander.bsky.social
I spend too much money on books. And too much time writing them. 🇦🇺🇨🇦. https://rohanalexander.com http://tellingstorieswithdata.com https://rohanalexander.substack.com
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@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
@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
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@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
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@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
@rdpeng.org
Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@devezer.bsky.social
Metascientist @ uidaho. I work at the intersection of behavioral sciences, statistics, and philosophy. Love thinking and talking about science. Post lots of cat and food pics. Allergic to advice.
@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
@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.
@chrisalbon.com
Director of Machine Learning at the Wikimedia Foundation. We host Wikipedia.
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@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
@maosbot.bsky.social
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, trans rights, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@nathanielforde.bsky.social
https://nathanielf.github.io/ Statistics, Probability previously Logic and Philosophy
@coreyyanofsky.bsky.social
Have you heard the Good News of Bayes' Theorem? #rstats, he/him
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@solomonkurz.bsky.social
Clinical psychology researcher | applied statistics geek | so called #RStats influencer
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@chelseaparlett.bsky.social
Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
@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.
@hspter.bsky.social
Data Science advising / consulting. Formerly startup CTO, Data Science Biden 2020, Stitch Fix, Etsy. PhD JHU Biostar. Co-host Not So Standard Deviations podcast. 🥳😴🧘🐈⬛
@tslumley.bsky.social
Biostatistician. Baritone. He/Him. Product of more than one country. May contain nuts.
@propublica.org
Investigative journalism in the public interest. Headlines and (sometimes literal) receipts. Support our work: https://propub.li/4d2mFWJ
@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/