Nolan Cole @nolancole.bsky.social Biostatistics phd student @University of Washington
Interested in non-parametric statistics, causal inference, and science!
Paweł Morzywołek @pawelmorzywolek.bsky.social Assistant professor of biostatistics at the University of Copenhagen
https://pmorzywolek.github.io
@ben-leroy.bsky.social @ben-leroy.bsky.social 
Donald Szlosek @dszlosek.bsky.social Biostatistician @IDEXX. @johnshopkins. Formerly @harvardmed, @BIDMChealth, @nasa. Real-world evidence, clinical trials, diagnostic validation. CoOrganizer BostonR. Mainer. he/him.
@aurelienbibaut.bsky.social @aurelienbibaut.bsky.social 
Amstat-American Statistical Association @amstatnews.bsky.social The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
Nick Williams @nickwillyamz.bsky.social Senior Data Analyst at Columbia University Epidemiology // Incoming Biostatistics PhD student at UC Berkeley
Sébastien Darses @sebdarses.bsky.social Act. Int. Agent? (Math. Assoc. Prof., on leave)
Research: Prob / Stat / Ant
Teaching Project (non-profit): https://highcolle.com/
https://sites.google.com/view/sebastien-darses/research?authuser=0
Carl T. Bergstrom @carlbergstrom.com Professor, UW Biology / Santa Fe Institute
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
he/him
Kara Rudolph @kararudolph.bsky.social Associate professor at Columbia University
Epidemiology, causal inference, addiction medicine
https://kararudolph.github.io/
Kelly Van Lancker @kellyvanlancker.bsky.social Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
@svansteelandt.bsky.social @svansteelandt.bsky.social 
Benjamin Burr @benjaminburr.bsky.social Statistician who loves dogs, running, reading, and statistics. 🇨🇦 in Sheffield 🇬🇧 living my best Yorkshire life. Account is mostly for lurking.
Elizabeth Stuart @lizstuart.bsky.social Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Razieh Nabi @raziehnabi.bsky.social Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu
Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc
raziehnabi.com
Arman Oganisian @stablemarkets.bsky.social Statistician | Assistant professor @ Brown University Dept of Biostatistics | Developing nonparametric Bayesian methods for causal inference.
Research site: stablemarkets.netlify.app
#statsky
arxiv.stat.ME @arxiv-stat-me.bsky.social Statistics -- Methodology (stat.ME)
source: export.arxiv.org/rss/stat.ME
maintainer: @tmaehara.bsky.social
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
Nathan Kallus @kallus.bsky.social 🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness
Cornell & Netflix
www.nathankallus.com
Caleb Miles @calebhmiles.bsky.social Assistant professor of biostatistics at Columbia University
Casual inference, statistics, etc
Pauca sed Matura
Lindsay Page @linzpage.bsky.social 
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
Miguel Hernan @miguelhernan.org https://miguelhernan.org/
Using health data to learn what works.
Making #causalinference less casual.
Director, @causalab.org
Professor, @hsph.harvard.edu
Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
Raymond Mumme @rpmumme.bsky.social Grad Student in Comp Sci @ UIUC @uofigrainger.bsky.social | Former Sr. Research Asst. in Radiation Physics @ Univ. of Texas MD Anderson Cancer Center @mdanderson.bsky.social, developed AI for RPA https://rpa.mdanderson.org | 🏳️🌈 he/him | Views are my own
Iván Díaz @idiaz.bsky.social Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
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
Jared Huling @jaredhuling.bsky.social Associate Professor of Biostatistics, University of Minnesota
https://jaredhuling.org/
Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social Full prof at @uni-saarland.de & part of @amlab.bsky.social at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
Jon Michael Gran @jmgran.bsky.social Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
Jiwei Zhao @jiweizhao.bsky.social Associate Professor of Statistics and of Biostatistics & Medical Informatics at UW-Madison • Semiparametrics, Domain Adaptation, Machine Learning, Causal Inference, Patient Reported Outcome, Aging, Mental Health
Joshua Agterberg @jagterberger.bsky.social Statistics professor at the University of Illinois Urbana-Champaign. I do high-dimensional statistics, network analysis, some optimization, and matrix analysis
Postdoc @ Penn, PhD @ Johns Hopkins
I also love running
Oliver Hines @ohines.bsky.social Columbia postdoc and ex-Quantco. Personal website: www.ohines.com
Rachel Leah Childers @donskerclass.bsky.social Econometrics, Statistics, Computational Economics, etc
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️⚧️
Ray Bai @raybai07.bsky.social Assistant Professor of Statistics at George Mason University, French bulldog owner, and pop culture enthusiast. Any views expressed on here are my own, not my employer's. 👨🏫📊 📚👨🍳🏳️🌈 raybai.net
Melody Huang @melodyyhuang.bsky.social Currently @ Yale, working on causal inference & cutting down on caffeine.
Website: melodyyhuang.com
Pan Zhao @panzhao.bsky.social Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
JungHo Lee @jungholee.bsky.social PhD student in Statistics & Data Science at CMU
Causal inference, machine learning, nonparametric statistics with applications to social science
jungholeestat.github.io
Maria Cuellar @mcuellar.bsky.social Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
Amanda Luby @amandaluby.bsky.social Assistant Prof of Statistics @ Carleton College | PhD CMU Stats
Interested in: statistics for forensics and the law; psychometrics; latent variable models; statistics education
https://aluby.github.io/
Alex Levis @awlevis.bsky.social Asst Prof of Biostats @ University of Pennsylvania
Center for Causal Inference
www.awlevis.com
interests: causal inference, distribution shift, machine learning, non/semiparametrics, w/ applications in EHR data & beyond
Gabe Loewinger @gabeloewinger.bsky.social Machine learning research scientist @ NIMH interested in statistics, optimization, ML, neuroscience, Brazilian jiu-jitsu, cats.
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
Ezequiel Smucler @esmucler.bsky.social statistics, machine learning
Alec McClean @alecmcclean.bsky.social Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
Marco Carone @mcarone.bsky.social Professor of Biostatistics, University of Washington School of Public Health.
Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division.
Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science.
🇨🇦🇮🇹🇦🇲
@qingtong.bsky.social @qingtong.bsky.social 
Dylan Foster 🐢 @djfoster.bsky.social Incoming Assistant Professor in EECS and Statistics at UC Berkeley.
Principal Researcher @ Microsoft Research NE/NYC. Previously @ MIT, Cornell.
AI + RL Foundations. RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
http://dylanfoster.net
Clément Canonne @ccanonne.github.io Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Dennis Frauen @ICLR 2025 @dennisfrauen.bsky.social (Ellis) PhD student at LMU
Munich. Interested in causal machine learning and reinforcement learning
Lars van der Laan @larsvanderlaan3.bsky.social Postdoc @Stanford | Ph.D. @UW Statistics | ML Research @Netflix — Machine learning, semiparametric statistics, causal inference, and reinforcement learning.
https://larsvanderlaan.github.io
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
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 🗽