jay brophy
contrarian cardiologist; data science, watercolour and gordon setter enthusiast
@jamesfern.bsky.social
Senior Lecturer; SFHEA; Director of Teaching; #Sport and #Exercise #Science #rstats #openscience #bayes #MUFC https://www.mdpi.com/2227-7102/14/10/1102
@madhupai.bsky.social
Inaugural Chair, Department of Global & Public Health, McGill University. Canada Research Chair in Epidemiology & Global Health Tweets: own views. He/him. https://en.wikipedia.org/wiki/Madhukar_Pai
@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
@ropensci.org
We are a community that fosters a culture that values open and reproducible research using shared data and reusable software. We develops #RStats based tools and […] [bridged from https://hachyderm.io/@rOpenSci on the fediverse by https://fed.brid.gy/ ]
@gidmk.bsky.social
Epidemiologist. Research Fellow. Doctor of Spreadsheets. Writer (Slate, TIME, Guardian, etc). PhD, MPH. Host of senscipod Email [email protected] he/him. Find my writing on Substack and Medium.
@apreshill.com
apreshill.com Product + Open Source + 1/3 of palmerpenguins team 🐧 VP of Product @ Anaconda Previously: RStudio / IBM / Voltron Data / OHSU
@posit.co
We make free, open-source software for data scientists like the RStudio IDE. We're formerly known as RStudio. You can always download our open-source IDE here. https://posit.co/download/rstudio-desktop/
@clauswilke.com
Computational biologist, data scientist, digital artist | he, him | http://clauswilke.com/ | Opinions are my own and do not represent UT Austin.
@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
@kjhealy.co
Social science and other distractions. Old posts get deleted pretty quick. https://kieranhealy.org / https://theordinalsociety.com
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@travisgerke.bsky.social
sometimes #dataBS #causalsky #statsky #episky #rstats but mostly yolo skeeting nonsense
@thomasp85.com
Visualisation and graphics @posit.co Classic Generative Art Weirdo using 🖤 and R: http://thomaslinpedersen.art and http://deca.art/thomasp85 he/him
@nrennie.bsky.social
📊 Data visualisation specialist. 💻 #RStats | #Python | #D3. 🎨 Generative artist. 🏃♀️ Runner. Website: https://nrennie.rbind.io/ She/her. Views my own.
@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. 🥳😴🧘🐈⬛
@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
@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
@statmodeling.bsky.social
Automatically tweets new posts from http://statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at https://twitter.com/StatRetro
@alexpghayes.com
incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
@jburnmurdoch.ft.com
Columnist and chief data reporter the Financial Times | Stories, stats & scatterplots | [email protected] — On 👨👶 leave until July — 📝 ft.com/jbm
@mjskay.com
Assoc Prof Computer Science and Communication Studies at Northwestern. Infovis, HCI. Author of tidybayes & ggdist R pkgs. he/him. 🏳️🌈 https://mjskay.com/ Co-director https://mucollective.northwestern.edu Co-founder https://journalovi.org
@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.
@carlbergstrom.com
UW biology prof. I study how information flows in biology, science, and society. Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b LLM course: https://thebullshitmachines.com Corvids: https://tinyurl.com/mr2n5ymk I don't like fascists. he/him
@statsepi.bsky.social
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #WBE #IDSurveillance Views mine -> https://statsepi.substack.com/
@tslumley.bsky.social
Biostatistician. Baritone. He/Him. Product of more than one country. May contain nuts.
@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
@pwgtennant.bsky.social
Epidemiologist with an interest in causal inference methods at @universityofleeds.bsky.social. Check out my Intro to Causal Inference Course: https://www.causal.training/ #Epidemiology, #EpiSky, #CausalInference, #CausalSky, #AcademicSky
@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/
@gscollins.bsky.social
Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴♂️ TRIPOD+AI: tinyurl.com/2dsb9e75 EQUATOR Network: tinyurl.com/5dw4rcy5 Google scholar: tinyurl.com/ysv3zwek #prediction #machinelearning #AI #openscience #metascience
@statsforbios.bsky.social
Statistics for biologists, medics, statisticians. Anyone really. By Tim Lucas, lecturer in epi/stats.
@richarddmorey.bsky.social
Statistics, cognitive modelling, and other sundry things. Mastodon: @[email protected] [I deleted my twitter account]
@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
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@jeremylabrecque.bsky.social
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk. jeremylabrecque.org
@rogerjlewis.bsky.social
Emergency physician and statistician; Bayesian adaptive and platform trial clinical trial design and implementation; Senior Statistical Editor at JAMA.
@hmkyale.bsky.social
Committed to my family, friends, and colleagues - working to make the future better than the past.
@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
@rafalab.bsky.social
Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.
@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
@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
@aubreyclayton.bsky.social
Author of Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. I write about statistics, history, and the history of statistics. Opinions and Bayesian priors are my own. He/him
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@allendowney.bsky.social
Former professor at Olin College, principal data scientist at PyMC Labs, author of Think Python, and Probably Overthinking It -- blog and book -- and stark raving Bayesian.
@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.
@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
@r-foundation.bsky.social
Not for profit organization founded by the R Core Team to provide support for the R project. A reference point for interaction with the R development community.