nima hejazi @nimahejazi.org asst. prof. (bio)statistics at harvard—causal inference, semi-parametric estimation, machine learning, open-source software for statistical science.
more about my research: https://nimahejazi.org
avid runner, concertgoer, timezone hopper
Matteo Bonvini @bonv.bsky.social Assistant Professor in the Department of Statistics at Rutgers
He/him 🏳️🌈
Aldo Pacchiano @aldopacchiano.bsky.social AI research at Broad Institute and Boston University.
Reinforcement Learning / Bandits / Experiment Design
Mexicano 🇲🇽
@akshaykr.bsky.social @akshaykr.bsky.social 
Caleb Miles @calebhmiles.bsky.social Assistant professor of biostatistics at Columbia University
Casual inference, statistics, etc
Pauca sed Matura
Fredrik Johansson @frejohk.bsky.social Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
Mor Naaman @informor.bsky.social Cornell Tech professor (information science, AI-mediated Communication, trustworthiness of our information ecosystem). New York City. Taller in person. Opinions my own.
Jiahao Chen 陈家豪 @jiahao.bsky.social PERSONAL ACCOUNT
他/he/him
Some call me NYC's AI Czar.
🐕🦺🇸🇬🇺🇸
Emre Kıcıman @emrekiciman.bsky.social causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
Fernando Diaz @841io.bsky.social Associate Professor, CMU. Researcher, Google. Evaluation and design of information retrieval and recommendation systems, including their societal impacts.
Sham Kakade @shamkakade.bsky.social Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Quanquan Gu @quanquangu.bsky.social Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
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
David Bindel @dbindel.bsky.social Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
Maximilian Kasy @maxkasy.bsky.social Econ prof at Oxford.
Machine learning, politics, econometrics, inequality, random reading recs.
maxkasy.github.io/home/
Dolores Romero Morales @doloresromerom.bsky.social Professor in Operations Research at Copenhagen Business School. In ❤️ with Sevilla and its Real Betis Balompié.
Hamsa Bastani @hamsabastani.bsky.social Prof @Wharton @Penn; machine learning for health & social good; foodie, gamer, homebody
Sharad Goel @5harad.com Professor of Public Policy at Harvard, co-director of @comppolicylab.bsky.social, applying a computational approach to public policy, including to issues in education, healthcare, and criminal justice. https://5harad.com
Alex Luedtke @alexluedtke.bsky.social statistician • causal inference, machine learning, nonparametrics
professor @harvardmed.bsky.social
alexluedtke.com
Michael Oberst @moberst.bsky.social Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
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
Ahmed Alaa @amalaa.bsky.social Assistant Professor at UC Berkeley and UCSF.
Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/ 
Irene Chen @irenetrampoline.bsky.social ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Berk Ustun @berkustun.bsky.social Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Bryan Wilder @brwilder.bsky.social Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
Winston Lin @linstonwin.bsky.social senior lecturer in statistics, penn
NYC & Philadelphia
https://www.stat.berkeley.edu/~winston- A Avi Feller @avifeller.bsky.social
Susan Athey @susanathey.bsky.social Economist
Aaron Roth @aaroth.bsky.social Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Davide Viviano @vivianodavide.bsky.social Assistant Professor at Harvard Econ. Previously: postdoc at Stanford GSB and UCSDEcon Phd. Econometrics and Data Science. Website: dviviano.github.io
Jann Spiess @jannspiess.bsky.social I integrate insights and techniques from machine learning into the econometric toolbox.
https://gsb-faculty.stanford.edu/jann-spiess
Pedro Sant’Anna @pedrosantanna.bsky.social Associate Professor at Emory University.
Causal Inference | Difference-in-Differences | Econometrics. Dad x4
Serge Belongie @serge.belongie.com Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 President @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD
#ComputerVision #MachineLearning
Phillip Isola @phillipisola.bsky.social Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
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.
Hal Daumé III @haldaume3.bsky.social Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
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.
Margaret Mitchell @mmitchell.bsky.social Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse.
Former: Google, Microsoft; Current: Hugging Face
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/
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
Zachary Lipton @zacharylipton.bsky.social Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Gergely Neu @neu-rips.bsky.social full-time ML theory nerd, part-time AI-non enthusiast
Daniel Jiang @danielrjiang.bsky.social Research Scientist Meta, Adjunct Professor at University of Pittsburgh. Interested in reinforcement learning, approximate DP, adaptive experimentation, Bayesian optimization, & operations research. http://danielrjiang.github.io
📍Chicago, IL
Claire Vernade @claireve.bsky.social Professor at UT Nuremberg, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
Zico Kolter @zicokolter.bsky.social Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
Yisong Yue @yisongyue.bsky.social AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
Scott Niekum @scottniekum.bsky.social Associate prof @ UMass Amherst CICS.
AIignment, reinforcement learning, imitation learning, and robotics.
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
Jeffrey Wooldridge @jmwooldridge.bsky.social Econometrics professor and author. Dogs = 2, cats >= 10.
Dr Ellie Murray, ScD @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
Talia Ringer @taliaringer.bsky.social 
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/
Elizabeth Stuart @lizstuart.bsky.social Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Daphna Harel @daphna.bsky.social Professor of Applied Stats at NYU ASH/PRIISM. Survey design, data analysis, general statistical advice. PI: NYU Queer Data Lab. she/her 🏳️🌈
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.
Dan Simpson @danpsimpson.bsky.social I don’t know man, I just don’t know.
shira mitchell @shiraamitchell.bsky.social survey statistician at blue rose research 🏕
ciamac moallemi @ciamac.bsky.social william von mueffling professor of business / columbia university / interested in stochastic control, quantitative trading, market microstructure, blockchain
https://moallemi.com/ciamac
Rachel Leah Childers @donskerclass.bsky.social Econometrics, Statistics, Computational Economics, etc
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️⚧️
Jonathan Roth @jondr44.bsky.social 
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
Johan Ugander @jugander.bsky.social Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/
Yoav Artzi @yoavartzi.com LM/NLP/ML researcher ¯\_(ツ)_/¯
yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / visiting researcher @ Google DeepMind / building @colmweb.org / previously associate faculty director @ arXiv.org
Steven Strogatz @stevenstrogatz.com Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
Cyrus Samii @cdsamii.bsky.social NYU Politics prof. Methods to inform policy. Experiments on governance and conflict management innovations. cyrussamii.com
Karl Rohe @karlrohe.bsky.social NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
Dean Eckles @eckles.bsky.social networks, contagion, causality
faculty at MIT
Ben Golub @bengolub.bsky.social economics and computer science professor at Northwestern
bengolub.net
social and economic networks
originally from Ukraine
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
Randall Munroe @xkcd.com 
Matt Blackwell @mattblackwell.bsky.social data, experiments, evals @Google. opinions my own.
political scientist 4 life
https://mattblackwell.org
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
Maxim Raginsky @mraginsky.bsky.social web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Ben Recht @beenwrekt.bsky.social Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
The Irrational Decision: How We Gave Computers the Power to Choose for Us. (Princeton) https://press.princeton.edu/books/hardcover/9780691272443/the-irrational-decision
Jason Hartford @jhartford.bsky.social DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
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/
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
Gaël Varoquaux @gaelvaroquaux.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
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
Uri Shalit @urish.bsky.social Machine learning researcher, working on causal inference and healthcare applications
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
Khoa @khoavuumn.bsky.social 
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
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