Diana Cai @dianarycai.bsky.social Machine learning researcher
www.dianacai.com
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Gabriel Peyré @gabrielpeyre.bsky.social CNRS researcher at ENS
a person @didier-drogba.bsky.social 
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
Approximate Bayes Seminar @approxbayesseminar.bsky.social Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
Dylan Foster 🐢 @djfoster.bsky.social Incoming Assistant Professor in EECS and Statistics at UC Berkeley.
Principal Researcher @ Microsoft Research NE/NYC. Previously @ MIT, Cornell.
AI + RL Foundations. RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
http://dylanfoster.net
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
Nicholas M. Boffi @nmboffi.bsky.social Building generative models for high-dimensional science and engineering.
Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT
https://nmboffi.github.io- A Arthur Gretton @arthurgretton.bsky.social
Arnaud Doucet @arnauddoucet.bsky.social Senior Staff Research Scientist @Google DeepMind
https://arnauddoucet.github.io/
Quentin Berthet @ AISTATS @qberthet.bsky.social Machine learning
Google DeepMind
Paris
Ethan Epperly @ethanepperly.bsky.social PhD candidate in applied math at Caltech interested in computational linear algebra he/him
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
Sarah Alamdari @sarahalamdari.bsky.social Senior Applied Scientist @ MSR // AI, molecular dynamics, protein design, and some sillyness 🧬
(she/her)
Stephan Mandt @stephanmandt.bsky.social AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
@dcburger.bsky.social @dcburger.bsky.social 
Elizabeth Wood, PhD @lizbwood.bsky.social Founder & CEO @jura.bsky.social | Full-stack probabilistic machine learning for the development of genetic medicines | Copenhagen & Basel & Boston
Eli Weinstein @eliweinstein.bsky.social Assistant professor of chemistry at the Technical University of Denmark (DTU). Also at Jura Bio. machine learning, statistics, chemistry, biophysics
https://eweinstein.github.io/
Alan Amin @alannawzadamin.bsky.social Faculty fellow at NYU working with @andrewgwils.bsky.social. Statistics & machine learning for proteins, RNA, DNA.
Prev: @jura.bsky.social, PhD with Debora Marks
Website: alannawzadamin.github.io
Kristian Lum @kldivergence.bsky.social Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
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.
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