Arthur Charpentier
Dad of 3 & born-again mathematician. Statistician, economist, fellow actuary & data addict. Professor & researcher in Montréal, Canada. Previously in Paris, Hong Kong, Leuven & Rennes. Full of 'satiable curtiosity https://mastodon.social/@freakonometrics
@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
@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.
@dingdingpeng.the100.ci
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
@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
@vincentab.bsky.social
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.” http://arelbundock.com
@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
@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
@amelia.mn
Associate professor of statistics and data science at the University of St Thomas. Into data visualization and reproducible research, obsessed with R. pronoun.is/she website: amelia.mn mastodon: @vis.social/@amelia
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
@ledell.bsky.social
Chief Scientist @ Distributional.com @dbnlAI.bsky.social #MLSky #StatSky Founder @ datascientific.com Founder wimlds.org & co-founder rladies.org PhD @ UC Berkeley 🏡 🌈 Oakland, California.
@aaronclauset.bsky.social
NO KINGS. NO NAZIS. FUND SCIENCE. Professor of Computer Science @ BioFrontiers Institute at University of Colorado, Boulder and External Faculty @ Santa Fe Institute orcid: https://orcid.org/0000-0002-3529-8746
@azjacobs.bsky.social
Asst Prof of Information @ UMich thinking about assumptions built into AI
@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
@beeonaposy.bsky.social
Data + product + books + parenting. DS @ Figma; blogging @ caitlinhudon.com
@f2harrell.bsky.social
Professor of Biostatistics Vanderbilt University School of Medicine Expert Biostatistics Advisor FDA Center for Drug Evaluation and Research https://hbiostat.org https://fharrell.com
@richarddmorey.bsky.social
Statistics, cognitive modelling, and other sundry things. Mastodon: @[email protected] [I deleted my twitter account]
@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
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@malcolmbarrett.malco.io
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
@danlarremore.bsky.social
Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute LarremoreLab.github.io
@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
@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/
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@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
@neurostats.org
AI in Bio & Health & Therapeutic Development Bio: https://linktr.ee/mnarayan Substack: https://blog.neurostats.org Peek into my brain: notes.manjarinarayan.org Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS 🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
@aliceschwarze.bsky.social
Head of Research @ Utah AI Policy Office // math, networks, complex systems, machine learning, and all things AI // mom & cat lady
@topepo.bsky.social
Writing modeling packages at @posit.co (née RStudio). Opinions are my own. https://max-kuhn.org/
@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
@mpopov.com
dad, husband, data scientist, former data science manager, product analytics pronouns: he/him website: https://mpopov.com
@statstas.datascience.blue
Social data scientist AMA about survey statistics, sampling weights, small area estimation, multilevel models, latent class analysis, structural equation models, #rstats, #Stata. Scraping contents of this account is not permitted.
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@bechhof.bsky.social
statistics obsessor, economics enjoyer, occasional engineer, founder at TrovBase
@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
@linstonwin.bsky.social
senior lecturer in statistics, penn NYC & Philadelphia https://www.stat.berkeley.edu/~winston
@jgyou.bsky.social
Assistant professor of Statistics and Complex systems at UVM. Lab: https://joint-lab.github.io
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@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.
@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
@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