@ethanepperly.bsky.social

PhD candidate in applied math at Caltech interested in computational linear algebra he/him

@imurray.bsky.social

Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray

@siahkoohi.bsky.social

Assistant Professor, CS at UCF | Uncertainty Quantification https://alisiahkoohi.github.io/

@poojakathail.bsky.social

Computational Biology PhD student @ucberkeley

@burakvarici.bsky.social

Postdoc at CMU, previously PhD at RPI. Causality, representation learning, misc.

@bengioe.bsky.social

Staff ML Scientist @valenceai.bsky.social Labs/Recursion Pharma, Mila GFlowNets, molecules & stuff https://folinoid.com

@cianeastwood.bsky.social

Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery. PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify. 📍London 🔗 cianeastwood.github.io

@ian-goodfellow.bsky.social

Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org

@julienroyd.bsky.social

@enoutahi.bsky.social

ML 4 drug discovery @valenceai.bsky.social

@kristinaulicna.bsky.social

Research Scientist 👩‍💻 at @valenceai.bsky.social 🧬🧪, powered by @recursionpharma.bsky.social 🔬🤖 | Bringing @mila-quebec.bsky.social spirit from Montréal 🇨🇦🍁 to our new London office 🇬🇧 | Enthusiastic "singlecellologist" 👩‍🔬🧫 into #AI & 🐍💻

@valenceai.bsky.social

Industrializing scientific discovery to radically improve lives. Powered by @recursionpharma.bsky.social

@jhartford.bsky.social

DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦

@mathst-bot.bsky.social

Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/math.ST/new List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g

@arxiv-stat-me.bsky.social

Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social

@tamarabroderick.bsky.social

Associate Professor at MIT EECS.

@skdeshpande91.bsky.social

Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl

@stat.ubc.ca

@minhngoc-tran.bsky.social

@maxhird.bsky.social

https://maxhhird.github.io/

@lichtartig.bsky.social

Currently in 🇩🇪 Geometric analysis, math. physics, etc.

@uzulim.bsky.social

🍩 Postdoc at Queen Mary, working on Geometric Data Analysis 🎓 Formerly at Oxford and Postech 🏳️‍⚧️ Trans non-binary, Any pronouns :) ✨ Also: number theory, physics, art, music https://sites.google.com/view/uzulim/main

@panzhao.bsky.social

Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge

@sflammia.bsky.social

Quantum. Virginia Tech and Phasecraft.

@fxbriol.bsky.social

Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.

@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 🌈

@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

@jun-yang.bsky.social

Department of Mathematical Sciences, University of Copenhagen https://jun.sites.ku.dk/

@dennisprangle.bsky.social

Approximate Bayesian at Bristol University

@tmlr-pub.bsky.social

TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/

@arxiv-stat-ml.bsky.social

source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social

@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.

@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

@dtfrazier.bsky.social

@wellingmax.bsky.social

@yeewhye.bsky.social

@seanplummer.bsky.social

Assistant Professor of Statistics at University of Arkansas

@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

@dianarycai.bsky.social

Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com

@jmarusic.bsky.social

Stats PhD Student at Columbia University

@botond42.bsky.social

Professor of Statistics at Bocconi University

@kdau.bsky.social

Assistant Professor of Statistics @ ESSEC Business School

@trevorcampbell.bsky.social

Associate Professor of Statistics at the University of British Columbia.

@rgiordan.bsky.social

@bsky.app

official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]