Julia M. Rohrer @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
Patrick @patrickdoupe.bsky.social Geriatric IC, LLM herder
Vincent Arel-Bundock @vincentab.bsky.social Prof. Most tweets about R. “Polisci, it’s all about what’s going on.”
http://arelbundock.com
Causalscience.org @causalscience.org Fostering a dialogue between industry and academia on causal data science.
Causal Data Science Meeting 2025: causalscience.org
ArXiv Paperboy (Stat.ME+Econ.EM) @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
ᴅᴀɴɪᴇʟ ᴍɪʟʟɪᴍᴇᴛ ✡️☮️❤️ @dlmillimet.bsky.social Robert H. & Nancy Dedman Trustee Prof of Econ at @SMU, husband, son, proud papa, baseball junkie, animal enthusiast, proudly woke.
http://people.smu.edu/dmillimet/
https://dlm-econometrics.blogspot.com/
Oliver Maclaren @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
Uri Shalit @urish.bsky.social Machine learning researcher, working on causal inference and healthcare applications
Tim Morris @timpmorris.bsky.social Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment…
He/him
https://tpmorris.substack.com/
alex hayes @alexpghayes.com postdoc @ stanford econ + incoming assistant prof @ oregon state statistics. networks, causal inference, contagion, measurement error, #rstats. he/him
https://www.alexpghayes.com
Darren Dahly @statsepi.bsky.social Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats
Posts not for everyone ¯\_(ツ)_/¯
Views mine -> https://statsepi.substack.com/
Manjari Narayan | @Neurostats @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
🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
Noah Greifer @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
Peter Tennant @pwgtennant.bsky.social Epidemiologist. Causal inference researcher and trainer. Based at @lida-leeds.bsky.social
See my Intro to Causal Inference Course: https://www.causal.training/
See the Causal Inference Interest Group: https://ciig-seminar.github.io
Chelsea Parlett @chelseaparlett.bsky.social Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
Brad Ross @bradross.bsky.social economist and assistant prof of real estate @wharton at @upenn.edu
https://brad-ross.github.io
Adam L @adam-lg.bsky.social 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
Winston Lin @linstonwin.bsky.social senior lecturer in statistics, penn
NYC & Philadelphia
https://www.stat.berkeley.edu/~winston
Chris Aitken @chrisaitken.bsky.social Economist and Data Scientist. Trying to do interesting things with interesting data 🏴🇬🇧
Ben Grimmer @profgrimmer.bsky.social Visiting Assistant Prof @MITSloan
Assistant Prof @JohnsHopkinsAMS,
PhD in Optimization @CornellORIE
Mostly here to share pretty maths/3D prints, sometimes sharing my research
Naim Rashid @naimurashid.bsky.social Associate Prof @uncbiostat, @UNCpublichealth, and @UNC_Lineberger #Genomics #statisticalcomputing #clinicaltrials #cancer
lab page: https://rashidlabcds.start.page
Melody Huang @melodyyhuang.bsky.social Currently @ Yale, working on causal inference & cutting down on caffeine.
Website: melodyyhuang.com- B Betsy Ogburn @betsyogburn.bsky.social statistics & causal inference
Louisa Smith @louisahsmith.bsky.social Assistant professor at Northeastern (Health Sciences) & the Roux Institute in Portland, ME. Epidemiologic methods, causal inference, biostats, reproductive and perinatal epi, #rstats, teaching & learning. she/her 🐶🚴♀️🏔️🎗️
Jon Huang @jonhuang.bsky.social Epidemiology, Biostatistics, & Causal Inference for Health and Social Equity, Academic (but in the Good Way), Bringing Community Data to Communities, Dad, Motorcycle Enthusiast, R&B, Soul, Brass Band, Blues, Jazz, etc. jonhuang.org
Stephen Coussens @coussens.bsky.social Data science and health economics at Abett. Previously prof @Columbia.
Maria Cuellar @mcuellar.bsky.social Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
Jonathan N. Katz @jnkatz.bsky.social Professor at Caltech. Social Sciences and Statistics.
Gemma Moran @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 🗽
Edward McFowland III @emcfowland.bsky.social HBS Professor interested in the development and deployment of Data Science tools (e.g., Anomaly Detection, Causal Inference, Networks) for better decision-making.
Liz Chin @etchin.bsky.social Assistant Professor of Biostatistics at Johns Hopkins • health equity • data science • studying mass incarceration and algorithm bias
angela zhou @angelamczhou.bsky.social 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
Tracy Sweet @tracysweet.bsky.social 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
Elena Llaudet @ellaudet.bsky.social Associate Professor of Political Science @Suffolk | Harvard PhD | Co-author of Data Analysis for Social Science (with Kosuke Imai): https://ellaudet.github.io/dss_book/
Sherri Rose @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
Hilary Parker @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. 🥳😴🧘🐈⬛
Dean Eckles @eckles.bsky.social networks, contagion, causality
faculty at MIT
Rafe Meager (they/them) @economeager.bsky.social i'm on the verge of tears by the time we arrive at espace, since i'm positive we won't have a decent table http://rachaelmeager.com http://rottenandgood.substack.com
Sean J Taylor @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
Model Measurement @OpenAI
Drew Dimmery @ddimmery.com social science methods: experiments, stats, ML. has read over a dozen books
Joshua Loftus @joft.bsky.social Random wanderer, toddler parent, famous fitness influencer
Statistics & Data Science Asst Prof at LSE (machine learning, causality, fairness, interpretability, ethics). First gen grad. Unschooled -> math @ WMich & Rutgers -> stats PhD @ Stanford
Johan Ugander @jugander.bsky.social Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Elena Zheleva @elenadata.bsky.social CS Prof @ University of Illinois Chicago. Research in causal inference, machine learning, graph mining, privacy.
www.cs.uic.edu/~elena
Karl Rohe @karlrohe.bsky.social NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
Pedro Sant’Anna @pedrosantanna.bsky.social Associate Professor at Emory University.
Causal Inference | Difference-in-Differences | Econometrics. Dad x4
Guilherme Duarte @guilhermeduarte.bsky.social Postdoc researcher, incoming Assistant Professor (@Harvard -- Government). PhD (@Wharton - @Penn). interests: causality, ML
Dan Roy @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.
Julian Wolfson @drjwolfson.bsky.social Professor, UMN Biostatistics & Health Data Science. Co-founder, Daynamica (www.daynamica.com). Canadian still pronouncing Z the right way, usually.
Sameer Deshpande @skdeshpande91.bsky.social Assistant professor in Statistics at UW–Madison.
Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
Alejandro Schuler @aschuler.bsky.social Assistant Professor of Biostatistics UC Berkeley
semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice
Modern Causal Inference Book: alejandroschuler.github.io/mci/
Luke Miratrix @lmiratrix.bsky.social Associate professor at the Harvard Graduate School of Education. Works on statistical methodology, causal inference, text as data, randomized experiments, and sometimes bad prose and poetry.
Kat Hoffman @kathoffman.bsky.social biostatistician + biostatistics phd student at the university of washington. learning + writing about better ways to conduct research. #rstats, #dataviz, causal inference. she/her. blog: https://www.khstats.com/
Nathan Kallus @kallus.bsky.social 🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness
Cornell & Netflix
www.nathankallus.com
Michael Knaus @mcknaus.bsky.social Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning.
Teaching material: https://github.com/MCKnaus/causalML-teaching
Homepage: mcknaus.github.io
Maarten van Smeden @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
Edward H. Kennedy @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
Vitor Possebom @vitorpossebom.bsky.social Assistant Professor at Sao Paulo Schools of Economics (FGV). Ph.D. 2022 at Yale. Passionate about Econometrics, especially Causal Inference. (He/his)
https://sites.google.com/site/vitorapossebom/
Paul Hünermund @p-hunermund.com Professor of Empirical Economics & Data Science at TU Munich | Heilbronn Data Science Center (HDSC) | Co-founder of causalscience.org
http://www.p-hunermund.com
Steve Tadelis @steve-tadelis.bsky.social Economist @BerkeleyHaas (He/Him) “Between stimulus and response there is a space. In that space is our power to choose our response…and our freedom” - Victor Frankl
Samuel Škoda @samuelskoda.bsky.social Economics PhD Candidate, University of Zurich. Starting as an AP at the University of Oslo in August '23.
apoorva lal @apoorvalal.com causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
Jonathan Roth @jondr44.bsky.social 
Jeffrey Wooldridge @jmwooldridge.bsky.social Econometrics professor and author. Dogs = 2, cats >= 10.
Peter Hull @instrumenthull.bsky.social Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV
https://sites.google.com/site/aboutpeterhull/home
Paul Goldsmith-Pinkham @paulgp.com Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
Florian Ederer @florianederer.bsky.social Austrian 🇦🇹
Economist 📈
Not an Austrian Economist
Allen & Kelli Questrom Professor
BU Questrom, NBER, ECGI & NBER
https://florianederer.github.io/