Gaël Varoquaux
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
@gabrielpeyre.bsky.social
@ferbsx.bsky.social
Bioinformatician @HPI who likes people, traveling, dogs and programming ツ | codecurious co-founder | she/her
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@mioana.bsky.social
Senior researcher at Inria, Part-time professor at Ecole Polytechnique, France. ACM Senior Member. Working on BigData, AI, Fact-Checking, Disinformation https://pages.saclay.inria.fr/ioana.manolescu/
@skrub-data.bsky.social
skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning. Our long-term goal is to directly connect database tables to machine learning estimators. https://skrub-data.org https://discord.gg/ABaPnm7fDC
@briannosek.bsky.social
Co-founder of Project Implicit, Society for Improving Psychological Science, and the Center for Open Science; Professor at the University of Virginia
@datasociety.bsky.social
Data & Society is a nonprofit research institute that studies the social implications of data-centric technologies, automation, and AI.
@alondra.bsky.social
Scholar, author, policy advisor alondranelson.com Science, Technology, and Social Values Lab https://www.ias.edu/stsv-lab
@facct.bsky.social
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). June 23rd to June 26th, 2025, in Athens, Greece. #FAccT2025 https://facctconference.org/
@thestudyofwar.bsky.social
ISW is a policy research organization focused on U.S. national security. Email: [email protected]. For more: https://linktr.ee/understandingwar
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@earningmyturns.org
I am an Engineering Fellow at Google DeepMind, creating bridges between AI research and product.
@pierrealquier.bsky.social
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
@serge.belongie.com
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 Board member @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD #ComputerVision #MachineLearning
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@tendar.bsky.social
Tyrants are my enemies | Si vis pacem para bellum |🇩🇪🇪🇺| Das Böse triumphiert allein dadurch, dass gute Menschen nichts unternehmen |Military & History
@jfpuget.bsky.social
Competitive Machine Learning director at NVIDIA, 3x Kaggle Grandmaster CPMP, ENS ULM alumni. Kaggle profile: https://www.kaggle.com/cpmpml
@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
@fernandoperez.org
Open source, open science, AI in science for earth/ice and healthcare. IPython creator, @projectjupyter.bsky.social and 2i2c.org co-founder. Prof @ UC Berkeley Stats, director of @ucbids.bsky.social, co-director @schmidtdse.bsky.social; LBL scientist.
@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
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@rajiinio.bsky.social
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
@zephoria.bsky.social
STS researcher who likes to look at things sideways. Founded Data & Society. Topics: Census | Youth | Data | Society Microsoft Research -> Cornell (2025) https://made-not-found-by-danah-boyd.ghost.io
@yoavgo.bsky.social
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@propublica.org
Investigative journalism in the public interest. Headlines and (sometimes literal) receipts. Support our work: https://propub.li/4d2mFWJ
@annarogers.bsky.social
Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
@vanamsterdam.bsky.social
machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com
@deevybee.bsky.social
Retired professor of psychology at University of Oxford. Interests in developmental neuropsychology and improving science. Blogs at deevybee.blogspot.com
@bethstuart97.bsky.social
Medical statistician and Director of PCTU, mum and reader of just about anything I can get my hands on (preferably whilst drinking tea and eating cake)
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
@yhg1s.bsky.social
Cat owner, Release Manager for Python 3.12 and 3.13, Meta employee. Former Python Steering Council and PSF Board member. (He/him or they/them.) Primarily on Mastodon: @[email protected].
@savannah.dev
Building for builders. Python Core Developer, maintaining the JIT + argparse. Python DevEx lead @ Snowflake. Jupyter Foundation Governing Board. Loves containers, compilers, open source software + cats. Brat. savannah.dev github.com/savannahostrowski
@snarky.ca
#Python core developer who also works on packaging; works on Python stuff at #Microsoft (although this is a personal account). Proudly #Canadian.
@ylechelle.bsky.social
CEO at probabl.ai, the @scikit-learn.org company. Tech exec, repeat entrepreneur, advisor, angel investor. MBA @INSEAD. Plays 🏀
@gergely.pragmaticengineer.com
Writing The Pragmatic Engineer (@pragmaticengineer.com), the #1 technology newsletter on Substack. Author of The Software Engineer's Guidebook (engguidebook.com). Formerly at Uber, Skype, Skyscanner. More at pragmaticengineer.com
@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
@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
@aaronclauset.bsky.social
NO KINGS. NO NAZIS. 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
@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.