@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@lambdaphdp.bsky.social
Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
@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.
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@osazuwa.bsky.social
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
@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]
@cfreer.bsky.social
Research Scientist at MIT studying interactions of randomness and computation
@guyvdb.bsky.social
🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/
@xuanalogue.bsky.social
PhD Student. MIT ProbComp / CoCoSci. Inverting Bayesian models of human reasoning and decision-making. Pronouns: 祂/伊
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@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
@poorvagarg.bsky.social
Working on Probabilistic Programming Languages https://web.cs.ucla.edu/~poorvagarg/
@sholtzen.bsky.social
I like computers. assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
@bayesflow.org
Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvinschmitt.bsky.social ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗GitHub github.com/bayesflow-org/bayesflow 💬Forum discuss.bayesflow.org
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io
@treichelt.bsky.social
postdoc @ uni oxford. machine learning. climate. statistics. web: treigerm.github.io
@ellieyhc.bsky.social
PhD student @mit_csail | Programming Systems for AI/ML | don’t ask how many cups of coffee I’ve drank
@mlbowers.bsky.social
PhD student at MIT studying program synthesis, probabilistic programming, and cognitive science. she/her
@kartikchandra.bsky.social
I'm a PhD student at MIT CSAIL. More about me: https://cs.stanford.edu/~kach
@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.
@ravenwater.bsky.social
Accelerating innovation, solving problems through high-performance compute, computational engineering entrepreneur, inventor of Domain Flow
@jjcmoon.bsky.social
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
@baxtereaves.bsky.social
CEO @ Redpoll. Probabilistic AI/ML researcher. Bayesian nonparmetrics. Cognitive Science.
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@nathanielforde.bsky.social
https://nathanielf.github.io/ Statistics, Probability previously Logic and Philosophy
@reshamas.bsky.social
• Statistician • Data science / Open Source: @dataumbrella.org • OSS: @scikit-learn.org, @pymc.io, • Videos: https://youtube.com/@dataumbrella 🌐 reshamas.github.io
@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
@benvincent.bsky.social
Data Scientist | Bayes | Causal reasoning | Python + Julia | Ex-academic | #MMT drbenvincent.github.io
@colcarroll.bsky.social
Runner, biker, hiker. Software engineer @DeepMind, and open source enthusiast. Sometimes crafts things out of wood. he/his.
@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.
@juanitorduz.bsky.social
Applied Scientist | Math PhD | Open Source PyMC Labs https://juanitorduz.github.io
@danielsaunders.bsky.social
writing about methods models and stats in evolutionary social sciences.
@gstechschulte.bsky.social
Probabilistic programming, optimization, and database systems. 📚 https://gstechschulte.github.io 💻 https://github.com/GStechschulte
@aseyboldt.bsky.social
@alex-andorra.bsky.social
⚾ Senior Applied Scientist @ Miami Marlins 🎙️ Creator @learnbayesstats.com podcast 📊 Cofounder @pymc_labs 👨🏫 Teacher @IntuitiveBayes
@dataumbrella.org
◈ community ◈ data science & open source ◈ videos: https://youtube.com/@dataumbrella ◈ events: https://meetup.com/data-umbrella ◈ news: dataumbrella.substack.com/
@jskirzynski.bsky.social
PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
@haileyjoren.bsky.social
PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI
@eml-munich.bsky.social
Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social