It's shaharyarranjah1 content creator and software engineer and artificial intelligence engineer Learn full stack web development machine learning deep learning computer vision llm data science data analyst etc connect with us
he/him. Feeling the churn. Tramlines. "It's just a model."
she/ella. Data Scientist 📊 & Steadicam operator 🎥 I contain multitudes.
I do math and code.
Wrote: "Probability Theory with a View Toward Machine Learning"
Developed: SigAlg — measure-theoretic probability in Python
https://johnmyers-phd.com/
PhD student: multi-AI systems
Assistant professor in Data Science and AI at Chalmers University of Technology | SciLifeLab Group Leader | PI for AI lab for Molecular Engineering (AIME) | ailab.bio | rociomer.github.io
Postdoc at Heidelberg University in the lab of Britta Velten working on ML for spatial omics data
🏠 nklkhlr.github.io
💻 github.com/nklkhlr
🔬Research Fellow in Health Science University of Surrey
🩺Specialist Vestibular Physiotherapist
machine learning researcher @ Apple machine learning research
Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views
📍Paris 🔗 https://davidpicard.github.io/
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2026 #ECCV2026 Publicity Chair
📍Toronto 🇨🇦 🔗 csprofkgd.github.io
🗓️ Joined Nov 2024
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
Join a bleeding-heart liberal and compulsive speculator rambling about saving the world with win-win games at nonzerosum.games!
Expressive probabilistic programming language for writing statistical models. Fast Bayesian inference. Interfaces for Python, Julia, R, and the Unix shell. A rich ecosystem of tools for validation and visualization.
Home https://mc-stan.org/
Code synthesizing Carbon-Silicon based lifeform 🖥️🧬
#Coding #Math #Physics
#HPC & #AI
#RetroTech
#Aerospace
#ＡＥＳＴＨＥＴＩＣＳ
Random #Nerdiness & #Shitposting
Biostatistician @IDEXX formerly at harvardmed, @BIDMChealth, @nasa. Big data, clinical trials, and medical diagnostics. Mainer. Opinions are my own. he/him
IBM Distinguished Engineer, CTO, architect, RHCE and Mets fan.
Views are my own
Lecturer in Computational Theory, School of Computing and Information Systems, University of Melbourne. Interests: Theoretical computer science and combinatorial optimisation, focussing on approximation and online algorithms. williamumboh.com
Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly.
Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec.
He/him.
Professor for "Machine Learning in Science", University of Tübingen.
Artificial Intellgence as a source of inspiration in Science.
https://mariokrenn.wordpress.com/
Assistant Professor at the Department of Computer Science, University of Liverpool.
https://lutzoe.github.io/
Associate Professor of Teaching at UCSC #rstats malfaro2.github.io
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social.
📍 @ml4science.bsky.social, Tübingen, Germany
meandering (https://twitter.com/fshcat)
🧑🏽💻 Co-founder of Gloodata & Instadeq
📘 Co-author of https://wasmfromthegroundup.com/
📰 Feeling of Computing Newsletter: https://newsletter.futureofcoding.org/join/
📑 Public Projects: https://marianoguerra.github.io/
Professor at UT Nuremberg, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
SF writer / computer programmer
Latest novel: MORPHOTROPHIC
Latest collection: SLEEP AND THE SOUL
Web site: http://gregegan.net
Also: @gregeganSF@mathstodon.xyz
Machine Learning Engineer
Professor of Statistics at Stockholm University.
25+ years of Bayes and still excited.
Big fan of Julialang, Observable and Linux.
🇮🇹+🇸🇪
Postdoc JKU Linz ELLIS: ML for sampling and optimization.
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Yo pensé que había que ir a https://fosstodon.org/@gilgamezh
De Todo Un Poco | he/him/él
🇦🇷@🇳🇱
🐍 @pythonargentina | @europython | @pyamsterdam | EPS/PSF fellow 🙂
Physicist, PhD network science & co-founder www.dribia.com. Strictly personal & sci thoughts in this account. Interested in #ML #Sport #Politics
CIS PhD at Penn | MIT CS + Math '24
sagnikanupam.com
PhD student working on AI reasoning in large multimodal models. I design methods to build better models for math, code, visual reasoning, agents, and robotics.
Assistant prof at @mff.unikarlova.cuni.cz. Interested in new ways of thinking about programming and history & philosophy of computing. Previously at University of Kent and @cst.cam.ac.uk.
Climate Scientist at @climatecentral.org | PhD | Passionate about improving science communication through data-driven stories | Harrisburg, PA | https://zacklabe.com/
Views, thoughts, and opinions expressed here are only my own.
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
Curioso. Me gusta de todo, especialmente Python, rocanrol, sexo, tenis, ingeniería, nudismo, sin orden en particular.
Full prof at Saarland University & part of the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
Building TakeShape (https://www.takeshape.io/), interested in AI Agents, GraphQL API Meshes, and where they intersect.
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
PhD Student in Mathematical Statistics at University of Twente working with Bandits
Dog Owner | he/him
Website: https://fabian.damken.net
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Assistant Professor of Statistics @ ESSEC Business School
Doing maths research (geom. analysis, metric geometry, large point configs., opt. transport, etc) since ~2010, deep learning and applied research since ~2020.
https://sites.google.com/site/mircpetrache/home
La M de STEM, la G de 6.6743 × 10⁻¹¹ m³ kg⁻¹ s⁻²
Research Scientist GoogleDeepMind
Ex @UniofOxford, AIatMeta, GoogleAI
Infovore, devoted grandparent, practical cook, housing remodeler and maintainer, walkable community master developer
PhD candidate @ University of Edinburgh
Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging
https://teresa-klatzer.github.io/
Probabilistic {Machine,Reinforcement} Learning and more at SDU
Computadoras, plantas, comida.
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Assistant Professor in Natural Language Processing (NLP) at the University of Warwick, UK.
Personal Webpage: https://warwick.ac.uk/fac/sci/dcs/people/u1898418/
messing up with gaussians
CS PhD student @UW working on ML for nanopore protein sequencing
Manchester Centre for AI FUNdamentals | UoM | Alumn UCL, DeepMind, U Alberta, PUCP | Deep Thinker | Posts/reposts might be non-deep | Carpe espresso ☕
Software Engineer.
github.com/dashed
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
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Programmer & researcher, co-creator of https://ohmjs.org. 🇨🇦 🇩🇪 🇪🇺
Co-author of https://wasmgroundup.com — learn Wasm by building a simple compiler in JavaScript.
Prev: CDG/HARC, Google, BumpTop
CNRS research scientist, based at ENS de Lyon
I'm interested in AI for imaging inverse problems
Looking to hire phds/postdocs!
🇦🇷🇬🇧🇫🇷
Website: https://tachella.github.io/
Deepinverter: https://deepinv.github.io/
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
Doing Bayesian stuff in #rustlang and #julialang. Seattle
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/
Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
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.
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
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
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.
The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
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]
Research Scientist at MIT studying interactions of randomness and computation
Runner, biker, hiker. Software engineer @DeepMind, and open source enthusiast. Sometimes crafts things out of wood. he/his.
🎓 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/
Assistant professor at NUS. Scaling cooperative intelligence & infrastructure for an increasingly automated future. PhD @ MIT ProbComp / CoCoSci. Pronouns: 祂/伊
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang
www.arviz.org
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
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/Stuttgart area)
sethaxen.com
Machine learning, open source software, C++. https://indii.org
Working on Probabilistic Programming Languages
https://web.cs.ucla.edu/~poorvagarg/
Statistics. Computing. Cancer Epidemiology. Public health.
