Chris Rackauckas @chrisrackauckas.bsky.social Lead dev of SciML org, VP of Modeling and Simulation @JuliaHub, Director of Scientific Research @PumasAI, and Research Staff
@mit_csail. #julialang #sciml
Thiago Serra @thserra.bsky.social Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two
Mathieu Besançon @matbesancon.bsky.social Researcher in mathematical optimization at Inria Grenoble, caffeine-fueled computational scientist and open-source developer
Typst @typst.app The new foundation for documents: Limitless power to write, create, and automate anything that you can fit on a page.
Adrian Hill @adrianhill.de PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
arxiv stat.ML @arxiv-stat-ml.bsky.social source: https://arxiv.org/rss/stat.ML
maintainer: @tmaehara.bsky.social
Bartolomeo Stellato @stella.to Assistant Professor @Princeton ORFE l Real-time optimizer I http://osqp.org developer | From 🇮🇹 in 🇺🇲 | https://stella.to
Jannis Kurtz @jannisku.bsky.social assistant professor at University of Amsterdam | research in integer (robust) optimization and machine learning | scientific views are my own, all others I read somewhere
Mosek Team @mosek.com 
Samuel Vaiter @samuelvaiter.com CNRS Researcher
website: https://samuelvaiter.com
Maxim Raginsky @mraginsky.bsky.social web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
@kyunghyuncho.bsky.social @kyunghyuncho.bsky.social a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
ArXiv math.OC Optimization and Control @optb0t.bsky.social A sub-optimal ArXiv math.OC bot.
Posts everyday at ~8:00 UTC.
🌐: https://arxiv.org/list/math.OC/new
👨🏻💻: @andrepanno.bsky.social
arxiv math.OC @arxiv-math-oc.bsky.social source: export.arxiv.org/rss/math.OC
maintainer:
@tmaehara.bsky.social
Erling D. Andersen @primaldual.bsky.social I spend most of my adult life on convex optimization and www.Mosek.com. In my spare time I like riding my racing bike and follow www.ob.dk.
ORCID: https://orcid.org/0000-0001-6351-8761
Carlos Castillo Passi @cncastillo.bsky.social Postdoc at Stanford. Joint PhD graduate from KCL and UC. #JuliaLang enthusiast. Leveraging technology to advance healthcare. MRI research.
www.github.com/cncastillo
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Arnaud Doucet @arnauddoucet.bsky.social Senior Staff Research Scientist @Google DeepMind
https://arnauddoucet.github.io/
Tim G. J. Rudner @timrudner.bsky.social Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
Chris J. Maddison @cmaddis.bsky.social Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
Christian A. Naesseth @canaesseth.bsky.social Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Dino Sejdinovic @sejdino.bsky.social Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
Desi R Ivanova @desirivanova.bsky.social Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Erin Grant @eringrant.me Assistant Professor @ualberta.bsky.social & Fellow @amiithinks.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Mark van der Wilk @mvdw.bsky.social Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
MAIKEONE[big] @maosbot.bsky.social Mother, wife, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb. She/her 🏳️⚧️🏳️🌈
Tycho van der Ouderaa @tychovdo.bsky.social Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
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)
Karen Ullrich (s/h) @karen-ullrich.bsky.social Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Emile van Krieken @emilevankrieken.com Assistant professor @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
Mattia Gollub @mgollub.bsky.social 🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
Ole-Christoffer Granmo @olegranmo.bsky.social AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
Idris Sunmola @idris1.bsky.social Johns Hopkins CS PhD student.
#MedicalRobotics #ComputerVision #DeepLearning #Guitar
Adrián Javaloy @javaloyml.bsky.social Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student @ University of Edinburgh
Mostly working on guarantees for variational inference
Nicola Branchini @nicolabranchini.bsky.social 🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Leander Kurscheidt @leanderk.bsky.social ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
Lorenzo Loconte @loreloc.bsky.social https://loreloc.github.io/
Andreas Grivas @andreasgrv.bsky.social Postdoc in ML/NLP at the University of Edinburgh.
Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs.
https://grv.unargmaxable.ai/
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Nicolas Beltran-Velez @velezbeltran.bsky.social Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
Diana Cai @dianarycai.bsky.social Machine learning researcher
www.dianacai.com
Joey Rudoler @jrudoler.bsky.social wharton stats phd — ml theory, ml for science
prev: comp neuro, data, physics
working with Edgar Dobriban and Konrad Körding
also some sports (esp. philly! go birds)
Sara Pérez-Vieites @sperez-vieites.bsky.social HIIT Postdoctoral Fellow at the University of Helsinki 🇫🇮
Previously in Edinburgh, Lille and Madrid.
Working on Bayesian inference for state-space models, and Bayesian experimental design.
https://sarapv.github.io/
Philipp Hennig @philipphennig.bsky.social Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Pierre Alquier @pierrealquier.bsky.social Professor of Statistics @ ESSEC Business School, APAC campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously:
RIKEN AIP 🇯🇵
ENSAE Paris 🇫🇷 🇪🇺
UCD Dublin 🇮🇪 🇪🇺
Université Paris Cité 🇫🇷 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Iain Murray @imurray.bsky.social Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Ali Siahkoohi @siahkoohi.bsky.social Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Kareem Ahmed @kareemyousrii.bsky.social Postdoc @ University of California, Irvine | PhD from CS@UCLA
Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models
kareemahmed.com
Isabelle Lee @wordscompute.bsky.social ml/nlp phding @ usc, currently visiting harvard;
training & interpretability & reasoning
iglee.me
Sweta Karlekar @swetakar.bsky.social Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
Flaviu Cipcigan @flaviucipcigan.bsky.social Building AIs for scientific discovery. Discovered antibiotics and materials for carbon capture. Tango dancer. See more at flaviucipcigan.com. Opinions my own.
Sulin Liu @sulinliu.bsky.social Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
James Hensman @jameshensman.bsky.social Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
James Allingham @jamesallingham.bsky.social Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
Thomas Möllenhoff @moellenh.bsky.social researcher
Dan Kowal @dan-kowal.bsky.social Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Jakub M. Tomczak @jmtomczak.bsky.social Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Aaron Schein @aaronschein.bsky.social Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
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
Anshuk Uppal @sigmabayesian.bsky.social Visiting Researcher @NYU Courant, CILVR.
PhD student @TU Denmark, MLLS(https://mlls.dk).
Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents.
Previously intern @SonyAI in deep generative modelling.
web: http://uppalanshuk.github.io
Gérôme Andry @Neurips2025 @gandry.bsky.social PhD student @universitedeliege.bsky.social with @glouppe.bsky.social. @frsFNRS research fellow. Focuses on AI for scientific discoveries 🤖
Lasse Elsemüller @elseml.bsky.social 💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
Ayush Bharti @ayushbharti.bsky.social Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence.
Website: http://bharti-ayush.github.io
Jonathan Wenger @jwenger.bsky.social Postdoctoral Research Scientist in Statistics at Columbia University
Alexander Terenin @avt.im Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Nishanth @nishantharun.bsky.social PhD candidate @CarnegieMellon / ex @MartinosCenter
interested in bridging the gap between machine learning academia and clinical practice; uncertainty quantification / explainable AI
Md Rifat Arefin @rarefin.bsky.social PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
Andreas Kirsch @blackhc.bsky.social My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
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
Nico Krämer @pnkraemer.bsky.social Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making.
https://pnkraemer.github.io/
Horace He @chhillee.bsky.social @PyTorch "My learning style is Horace twitter threads" -
@typedfemale
Patrick Kidger @patrickkidger.bsky.social 🚀 Doing something new. Curing uncured diseases.
🧪 antibodies+AI, neural ODEs, open-source JAX ecosystem.
👨💻 ex-{Cradle, Google, Oxford}.
📍 Zürich, Switzerland
Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU. Founding research scientist at Percepta.
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
Jason Lee @jasondeanlee.bsky.social Associate Professor at Princeton
Machine Learning Researcher
Guillaume Dalle @gdalle.bsky.social Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Gabriel Peyré @gabrielpeyre.bsky.social CNRS researcher at ENS
Gilles Louppe @glouppe.bsky.social AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
Michael "Shapes Dude" Betancourt @betanalpha.bsky.social Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Stefano @stippe87.bsky.social Former theoretical physicist, now data scientist.
Bayesian, PyMC addicted.
Science outreach enthusiast and dataviz lover.
Skeptik
Mostly in Turin (IT)
https://thestippe.github.io/statistics
Willie Neiswanger @willieneis.bsky.social Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Chad Scherrer @cscherrer.bsky.social Doing Bayesian stuff in #rustlang and #julialang. Seattle
Maria Gorinova @mgorinova.bsky.social Shaping the future of programming @tessl.io 🚀 | ex-@TwitterCortex @Birdwatch 💙 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, and lover of well-placed puns.
https://mgorinova.github.io/
Alex Lew @alexlew.bsky.social Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Jan-Willem van de Meent @jwvdm.bsky.social Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Philippe Desjardins-Proulx @lambdaphdp.bsky.social Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
Sean Pinkney @spinkney.bsky.social I mostly post about probabilistic programming stuff, statistics, and R/Julia/Python (in that order). I'm a volunteer Stan developer and citizen scientist (papers on arxiv). Currently my day job is doing marketing analytics.
Martin Trapp @trappmartin.eurosky.social Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
—
https://trappmartin.github.io/
—
Reliable ML | UQ | Bayesian DL | tractability & PCs
🔥囧Robert Osazuwa Ness囧🔥 @osazuwa.bsky.social
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
Osvaldo Martin @aloctavodia.bsky.social Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART.
Support me at https://ko-fi.com/aloctavodia
https://bayes.club/@aloctavodia
Thomas Wiecki @twiecki.bsky.social That PyMC guy
Allen Downey @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.
PyMC Labs @pymc-labs.bsky.social The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
Moritz Schauer @mschauer.bsky.social Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything
https://mschauer.github.io
http://orcid.org/0000-0003-3310-7915
[ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
Cameron Freer @cfreer.bsky.social Research Scientist at MIT studying interactions of randomness and computation
Cameron @cameron.stream 🤙
Building machines that learn at @letta.com
https://cameron.stream