Anne Carpenter @drannecarpenter.bsky.social Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
Broad Institute @broadinstitute.org A multidisciplinary community of researchers with the mission to better understand the roots of disease and narrow the gap between new biological insights and impact for patients. Broadinstitute.org
Pravesh K Kothari @praveshkkothari.bsky.social Assistant Professor @PrincetonCS
Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
Mojmir Mutny @mmutny.bsky.social Machine Learning Scientist @ ETH Zurich, Active Learning, Sequence Design, GenAI
Paweł Morzywołek @pawelmorzywolek.bsky.social Assistant professor of biostatistics at the University of Copenhagen
https://pmorzywolek.github.io
arXiv math.PR Probability @mathpr-bot.bsky.social Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/math.PR/new
List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j
ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
John C. Baez @johncarlosbaez.bsky.social Mathematical physicist
Simons Foundation @simonsfoundation.org Advancing the frontiers of basic science through grantmaking, research and public engagement. Sign up for our newsletter: simonsfoundation.org/newsletter
TCS+ @tcsplus.bsky.social TCS+ is the original online seminar in theoretical computer science, committed to the carbon-free dissemination of ideas across the globe since 2013. Talks from the cutting edge of research in TCS, for a wide audience: https://www.tcsplus.org
Simons Institute for the Theory of Computing @simonsinstitute.bsky.social The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Shubhendu Trivedi @shubhendu.bsky.social Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare.
https://shubhendu-trivedi.org
Tom Gur @tomgur.bsky.social Professor of Computer Science at Cambridge.
Robin Kothari @robinkothari.bsky.social Theoretical computer scientist working on quantum algorithms and complexity at Google Quantum AI. Previously at Microsoft Quantum, MIT, U. Waterloo, and IIT Bombay.
Gene Ontology @geneontology.bsky.social The Gene Ontology (GO, geneontology.org) knowledgebase is the world’s largest source of information on gene function. Our mission is to develop a comprehensive, computational model of biological systems, ranging from the molecular to organism level.
Causal Club @handle.invalid Causality Club proudly hosted at the University of Pisa and relying on strong assumptions since always.
https://causalclub.di.unipi.it/
Deepanjali Mishra @deepanjalimishra.bsky.social Ph.D. Student in Computer Architecture at Carnegie Mellon University (she/her)
@qit-cqt.bsky.social @qit-cqt.bsky.social 
Ainesh Bakshi @aineshbakshi.bsky.social Assistant Professor at NYU Courant Institute School | Postdoc at MIT | PhD at CMU | Theoretical Computer Science | Quantum Information
Alex Luedtke @alexluedtke.bsky.social statistician • causal inference, machine learning, nonparametrics
professor @harvardmed.bsky.social
alexluedtke.com
Phillip Lippe @phillip-lippe.bsky.social Research Scientist GoogleDeepMind. Working on large-scale pretraining at Gemini.
https://phlippe.github.io/
Mátyás Schubert @matyasch.bsky.social PhD in causal machine learning @amlab.bsky.social
Bhawna Paliwal @bhawnapaliwal.bsky.social Research Engineer @MSFTResearch | Prev - UG CSE IIT Ropar'21 | Large scale ML- A Arthur Gretton @arthurgretton.bsky.social
@cekbote.bsky.social @cekbote.bsky.social 
Nutan Limaye @nutanlimaye.bsky.social 
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
@aniketv7.bsky.social @aniketv7.bsky.social 
Sam Power @spmontecarlo.bsky.social Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
Ken Wharton @kenwharton.bsky.social Physics professor at San Jose State. Quantum Foundations. Big fan of space and time, and also many things therein.
Aneesh Komanduri @akomandml.bsky.social CS PhD student @UArkansas EECS interested in causality, generative modeling, and applications in trustworthy AI
Website: akomand.github.io
LinkedIn: https://www.linkedin.com/in/akomand
Nic Fishman @njw.fish Using computers to read the entrails of modernity (statistics, optimization, machine learning).
Currently: Stats PhD @Harvard
Previously: CS/Soc @Stanford, Stat/ML @Oxford
https://njw.fish
Rahul G. Krishnan @rahulgk.bsky.social Assistant Professor at the University of Toronto
⚒️ 🏥 Deep learning and causal inference for computational medicine
Ali Tajer @atajer.bsky.social Professor @RPI
Statistical inference, ML, Info theory
web: https://www.isg-rpi.com
Benjie Wang @benjiewang.bsky.social Postdoc @ UCLA StarAI Lab, PhD in CS from Oxford. Probabilistic ML, Tractable Models, Causality
TMLR Published Papers @tmlr-pub.bsky.social TMLR Homepage: https://jmlr.org/tmlr/
TMLR Infinite Conference: https://tmlr.infinite-conf.org/
Kabir Ahuja @kabirahuja2431.bsky.social PhD student @uwnlp.bsky.social
Yorgos @yfelekis.bsky.social PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence.
Website: yfelekis.github.io
ICLR Conference @iclr-conf.bsky.social International Conference on Learning Representations https://iclr.cc/
uai2026 @auai.org Association for Uncertainty in AI.
Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱
https://auai.org/uai2026
Sayantan Sen @sayantansen.bsky.social Postdoc @quantumlah @NUSingapore
Previously: Postdoc @NUSComputing
https://sites.google.com/view/sayantans
Terence Tao @teorth.bsky.social Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Nirmalya Kajuri @kajunut.bsky.social Assistant Professor of Physics at IIT Mandi and Science Writer. Writing a pop sci book about black hole information loss paradox.
ieva @hyperboieva.bsky.social Quantum information, useless information, generally informed.
Quantum algorithms researcher at phasecraft.io
https://ievacepaite.com/
Quanta Magazine @quantamagazine.org Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
Preetum Nakkiran @preetumnakkiran.bsky.social ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Surya Ganguli @suryaganguli.bsky.social Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Andrej Risteski @andrejristeski.bsky.social Machine learning researcher. Professor in ML department at CMU. 
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor
https://cims.nyu.edu/~andrewgw
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.
Blei Lab @bleilab.bsky.social Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
Burak Varıcı @burakvarici.bsky.social Postdoc at CMU, previously PhD at RPI. Causality, representation learning, misc.
Armin Kekić @arminkekic.bsky.social PhD Student Machine Learning & Causality with Bernhard Schölkopf at Max Planck Institute for Intelligent Systems // Prev.: Applied Science at Zalando, MSc Maths at Oxford, BSc Physics at Heidelberg
arminkekic.com
Nathan Kallus @kallus.bsky.social 🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness
Cornell & Netflix
www.nathankallus.com
Jean Kaddour @jeankaddour.bsky.social https://github.com/PySpur-Dev/PySpur
PhD Student at UCL // LLMs
Patrik Reizinger @rpatrik96.bsky.social PhD student working on understanding why neural nets generalize @MPI Tübingen | ex-Vector | path2phd.substack.com | 🇭🇺 🇪🇺
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
Chandler Squires @chandlersquires.bsky.social CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
Naftali Weinberger @dagophile.bsky.social Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
Yuchen Zhu @zhuyuchen.bsky.social Machine Learning PhD student @UCL. Interested in Causality and AI Safety.
yuchen-zhu.github.io
Rickard Karlsson @rickardkarlsson.bsky.social PhD student working on causal inference and ML @ TU Delft
rickardkarlsson.com
Jivat Kaur @jivatneet.bsky.social PhD student at UC Berkeley
Konrad Kording @kordinglab.bsky.social @Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
Peyman Milanfar @docmilanfar.bsky.social Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time.
http://milanfar.org
Aldo Pacchiano @aldopacchiano.bsky.social AI research at Broad Institute and Boston University.
Reinforcement Learning / Bandits / Experiment Design
Mexicano 🇲🇽
@wellingmax.bsky.social @wellingmax.bsky.social 
@locatelf.bsky.social @locatelf.bsky.social Assistant Prof at ISTA - Causal Learning and AI Lab
Steven Strogatz @stevenstrogatz.com Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
Chris J. Maddison @cmaddis.bsky.social Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
Yarin @yaringal.bsky.social Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Stephen Bartlett @bartlettquantum.bsky.social Professor at the University of Sydney. Quantum computing enthusiast.
Views expressed here are my own.
Henry Yuen @henryyuen.bsky.social Complexity, in all its forms.
Associate Professor of Computer Science at Columbia University.
http://www.henryyuen.net
John Preskill @preskill.bsky.social Caltech theoretical physicist
Thomas Steinke @stein.ke Researcher in computer science, math, machine learning, (differential) privacy, AI, etc. at Anthropic.
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Ankit Pensia @ankitpensia.bsky.social Statistics and ML Theory
https://ankitp.net/
Ryan Williams @rrwilliams.bsky.social professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc.
i'll let you know when P != NP is proved (and when it's not)
Thatchaphol Saranurak @eigx.bsky.social Assistant Professor at the University of Michigan.
I design fast graph algorithms in dynamic/distributed/local settings.
https://sites.google.com/site/thsaranurak/
Differential Privacy Papers @dppapers.bsky.social 🤖
new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract
- unrelated quantum/FL papers
+ updates from https://differentialprivacy.org
[Under construction.]
Amartya Sanyal @amartyasanyal.bsky.social Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
Seong Joon Oh @coallaoh.bsky.social Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI
https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
Grant Sanderson @3blue1brown.com Math videos
Susan Athey @susanathey.bsky.social Economist
Victor Veitch @vveitch.bsky.social machine learning and artificial intelligence | University of Chicago / Google
Emre Kıcıman @emrekiciman.bsky.social causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
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
Pausal Zivference @pausalz.bsky.social Paul Zivich, Assistant (to the Regional) Professor
Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast.
https://github.com/pzivich
#epidemiology #statistics #python #episky #causalsky
Ryan O'Donnell @booleananalysis.bsky.social 
Daniel Litt @littmath.bsky.social Assistant professor (of mathematics) at the University of Toronto. Algebraic geometry, number theory, forever distracted and confused, etc. He/him.
Christopher Manning @chrmanning.bsky.social Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Gautam Kamath @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 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
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.
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/
Uri Shalit @urish.bsky.social Machine learning researcher, working on causal inference and healthcare applications
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.
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
Ahmed Alaa @amalaa.bsky.social Assistant Professor at UC Berkeley and UCSF.
Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/ 
Thomas Kipf @tkipf.bsky.social Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
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
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.
Vaishnavh Nagarajan @vaishnavh.bsky.social Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io