Neurospicy tech girl. I love cats and Starbucks.
networks, contagion, causality
faculty at MIT
Econometrics, Statistics, Computational Economics, etc
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️⚧️
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
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.
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
She/Her ~ Statistician/Quant Methodologist at UMD ~ CMU Stats Alum ~ Researches racial equity, social networks, machine learning, Bayesian things ~ Mom of 3 kids, 2 dogs, 1 cat
statistician • causal inference, machine learning, nonparametrics
professor @harvardmed.bsky.social
alexluedtke.com
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV
https://sites.google.com/site/aboutpeterhull/home
Aspiring wastrel, applied econometrician. http://rachaelmeager.com for bayes, dev econ and meta science. Also http://rottenandgood.substack.com for writing, art, death and emotions. Gay academic nonbinary weirdo cursed to be serious in Sydney and in life.
Econometrics professor and author. Dogs = 2, cats >= 10.
Statistician. PhD @Harvard • Masters degree in pure math • Follow me for fun, nerdy content.
Sign up to my newsletter: kareemcarr.substack.com
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 unsolicited advice.
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
Associate Professor of Strategy & Innovation | Co-founder of causalscience.org | Associate Editor at Journal of Causal Inference | Executive Team at Academy of Management TIM Division
sciolist. mostly made of ice cream
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
NO KINGS. NO FASCISTS. 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
Asst Prof of Information @ UMich thinking about assumptions built into AI
Whoa, everything's computer!
Statistics, cognitive modelling, and other sundry things. Mastodon: @richarddmorey@tech.lgbt
[I deleted my twitter account]
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
NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute | LarremoreLab.github.io
Founder | CevianLabs.io
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Division Chief, Nephrology UNMHSC
(im)personal views & account #zerokale
Firm believer : caveat emptor & stupidity is immoral
Random thoughts about #nephrology #stats #bioinformatics #perl #HPC #nanopore #RNAseq #covid19 #amateurcoding
#ButlerianJihad
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
Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
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
🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
Head of Research @ Utah AI Policy Office // math PhD // networks, complex systems, machine learning, and all things AI // mom & cat lady
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Research Scientist working on causal inference. The Anna Wintour of slide decks. If you have something to say, say it with a nice plot #rstats (Disclaimer: All opinions are my own)
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Machine learning researcher, working on causal inference and healthcare applications
statistics obsessor, economics enjoyer, occasional engineer, founder at TrovBase
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
senior lecturer in statistics, penn
NYC & Philadelphia
https://www.stat.berkeley.edu/~winston
Assistant professor of Statistics and Complex systems at UVM.
Lab: https://joint-lab.github.io
New father. Also: 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.
I spend too much money on books. And too much time writing them. 🇦🇺🇨🇦.
https://rohanalexander.com
http://tellingstorieswithdata.com
statistics & causal inference
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
Associate prof of biology prof at Concordia University. Lost in the wilds between ecology, statistics, and dynamic systems. Always interested in chatting all things GAM- and nonlinear-system related.
Statistician at Sydney University.
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
Associate Prof of Applied Stats at NYU ASH/PRIISM. PI: NYU Queer Data Lab. she/her 🏳️🌈
Nigerian. Assistant professor in the Research, Measurement & Statistics program at University of North Texas. Uses Stan a lot. Member @CWA6186 / TSEU
Biostatistics/bioinformatics at Charles University, 2nd faculty of Medicine. Bayesian in practice, but not a fan of Bayesian epistemology. Main on fedi: https://bayes.club/@modrak_m
Blog: https://martinmodrak.cz
General and specific nerdery. Please read the 🏴☠️FAQs: angelamanzo.com/faq
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 🗽
I'm a faculty at CSU Stan, I'm interested in #rstats #healthyAging #quartoPub #python #statistics. I might share content related to quantitative methods from a diverse number of fields.
Economics Research at OpenAI.
Assistant professor in Statistics at UW–Madison.
Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
HBS Professor interested in the development and deployment of Data Science tools (e.g., Anomaly Detection, Causal Inference, Networks) for better decision-making.
marketing data scientist, generalist, math and library enthusiast, data scientist of the third kind, loves good stationary and pens, low tech enthusiast, open source tinkerer, opinions = mine #rstats
Principal Bioinformatics Scientist @fulcrumgenomics.bsky.social
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
Survey methodologist and statistician at the Survey Research Center, Institute for Social Research, University of Michigan
#survey | #sampling | #statistics | #RStats
Principal methodologist at Pew Research Center. He/him
Cornell | AEA Data Editor | 🇨🇦🇺🇸🇩🇪
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)
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #IDSurveillance
Views mine -> https://statsepi.substack.com/
assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
aneeshsathe.com
🧪🧬💻🤖🔬🦠🩺💊🐍
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
Data Scientist. Poli sci PhD. Cyclist (Gravel, MTB, road). Bayes, causal inference, etc. Also: cats, food opinions. Views & opinions my own. Not investment advice. He/him
Retired UNESCO Dir for Digital Inclusion, Policies & Transformation. Chair, UN University, eGov Institute.
UNESCO Women in STEM Committee
Some pottery and cyanotyping
Profile picture is of my face and torso
Banner is a picture I took of a light garden
Prof of Comm & Media and Polisci @UMich studying how people get & use political information and social measurement.
Competencies: data sci, DIY solar, election analytics, carpooling, #polcom, #polpsych, survey methods, AI literacy (views are my own)
Associate Professor of Statistics
afranks.com
Assistant Professor improving (assessment of) measurement in intensive longitudinal data
Department of Methodology and Statistics, Tilburg University, The Netherlands
Ambassador for the Tilburg Experience Sampling Center: https://experiencesampling.nl/
https://nathanielf.github.io/
Statistics, Probability previously Logic and Philosophy
I help @posit.co deliver the best R and Python data science solutions to the public sector in the US and elsewhere. Fan of cats coffee whiskey tea photography philosophy Atlanta - personal account. https://18chains.com/
Columnist and chief data reporter the Financial Times | Stories, stats & scatterplots | john.burn-murdoch@ft.com
📝 ft.com/jbm
Visualisation and graphics @posit.co
Classic Generative Art Weirdo using 🖤 and R: http://thomaslinpedersen.art and http://deca.art/thomasp85
he/him
Designer, journalist, and professor.
Author of 'The Art of Insight' (2023) 'How Charts Lie' (2019), 'The Truthful Art' (2016), and 'The Functional Art' (2012). NEW PROJECT: https://openvisualizationacademy.org/
🧙♂️✨📊
Independent Data Visualization Designer, Consultant & Instructor | available for projects and workshops
All things data & design with #rstats, #ggplot2, #Figma, #DataWrapper, #Flourish, and more
Co-Founder of the #30DayChartChallenge
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/
Code, Data, Analysis, Teaching, Running, Breadmaking ... https://dirk.eddelbuettel.com
"God doesn't know, and the devil isn't telling." xkcd.com/2867/
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
Current: Principal Data Scientist (retail). Former: Data Science & AI Manager, Responsible AI Architect, ML Engineer, Data Scientist, Professor.
Computational disease ecologist. Executive Director of @ropensci.org. Co-founder of https://grant-witness.us/. Brooklynite. One Health, open science, #RStats, cities, civics, bikes, fun, love, progress + justice. he/him
Engineer at Posit (fka RStudio), technical lead at quarto.org
Learning Brazilian Choro, the 7-string guitar, and to deal with the Minneapolis winter after 10 years in Tucson
Human geneticist 🧬, bioinformagician 🧙🏻♂️, choral musician 🎼, and unrepentant city slicker 🏙️. Amplifying interesting signals (like #ScienceWin)! [he/him]
https://orcid.org/0000-0003-3466-1846
r + python + data + web things. team shiny at posit (rstudio). open source all the things
https://garrickadenbuie.com
https://github.com/gadenbuie
Helped build NYS's Forest Carbon Assessment. Currently helping build public water data infrastructure. PhD in Environmental Science.
#rstats, ML, Boston and spatial data.
Opinions my own. RTs imply causation.
https://mm218.dev
github.com/mikemahoney218
🗣️#RStats #DataScience #Dogs
@dslc.io Executive Director
#TidyTuesday poster
🔗http://linkedin.com/in/jonthegeek
🔗http://github.com/jonthegeek
Associate Professor and Research Dean at UVA School of Data Science, #Rstats enthusiast, dad, runner, guitar noise-maker. Views my own.
Web: https://datascience.virginia.edu/people/stephen-turner
Newsletter: https://blog.stephenturner.us
Our mission: To provide tools and resources to foster a diverse, friendly, and inclusive community of data science learners and practitioners. Join us at https://dslc.io
tada⬢science ⬡⬡ ex(Posit/RStudio, ThinkR, Mango Solutions) ⬡⬡ role(Data Scientist, Software Engineer, R Expert) ⬡⬡
Writing modeling packages at @posit.co (née RStudio). Opinions are my own. https://max-kuhn.org/
Owner of Lander Analytics
Author of R for Everyone
Lecturer at Columbia Business School and Princeton University
Organizer of NY Open Statistical Programming Meetup
jaredlander.com
