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Founding Researcher @ Stealth Startup & Inria & MVA. Ex: Llama @AIatMeta; Gemini and BYOL @GoogleDeepMind. LLMs, RL, alignment.
Columbia CS professor. Head of Research at a16z crypto. Research on algorithms, game theory, mechanism design, blockchains/web3. Author of Algorithms Illuminated, Twenty Lectures on Algorithmic Game Theory, and Beyond the Worst-Case Analysis of Algorithms.
CS PhD student at USC- Interested in Generative AI, AI for science
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
CEO of FutureHouse, building an AI Scientist
Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. There are four lights.
https://www.cs.cmu.edu/~kmcrane/
Faculty at the Max Planck Institute for Software Systems, working at the intersection of ML, language models, and cognitive neuroscience. Yogurt snob. https://mtoneva.com/
Ph.D. student at UW-Madison. Working on automating foundation model guided science. Previously at CMU, UCSD, Fresno City College.
https://nick11roberts.science
Artist, Designer and Boat Builder 🌱
Experience the art of wooden boat building
Joined Bluesky in Dec 2024
Associate Prof. of Databases @ Carnegie Mellon.
Associate professor at CMU, studying natural language processing and machine learning. Co-founder All Hands AI
The AI Accelerator Company. https://discord.gg/nousresearch
Co-Founder & CEO, Sakana AI 🎏 → @sakanaai.bsky.social
https://sakana.ai/careers
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
PhD @berkeley_ai; prev SR @GoogleDeepMind. I stare at my computer a lot and make things
AI, numerics and systems.
Founding Scientist at Liquid AI
Director, @stanforddel.bsky.social
Professor Stanford Institute for Human-centered AI, SIEPR, Stanford department of Economics and GSB
Author https://amazon.com/Second-Machine-Age-Prosperity-Technologies/dp/0393350649
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
Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab
Computational Social Science & NLP
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
Playing with old computers, breaking them, maybe fixing them.
Associate Professor at MIT EECS, LIDS.
research scientist at google deepmind.
phd in neural nonsense from stanford.
poolio.github.io
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Machine learning prof at U Toronto. Working on evals and AGI governance.
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
https://shangshang-wang.github.io/
Phd student in CS + AI @usc.edu. CS undergrad, master at ShanghaiTech. LLM reasoning, RL, AI4Science.
Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
My views expressed here are personal and are not those of my employers.
I built a C library that lets you compile 12kb static binaries that run natively on Linux, Mac, Windows, FreeBSD, OpenBSD, NetBSD and BIOS using just GCC/Clang.
Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
Machine learning researcher. Professor in ML department at CMU.
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
https://www.vita-group.space/ 👨🏫 UT Austin ML Professor (on leave)
https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab)
Superpower is trying everything 🪅
Newest focus: training next-generation super intelligence - Preview above 👶
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
If you put your mind to it, you can accomplish anything..
#c64 #amiga #arcade #videogames #retrogaming #70s #80s #90s #demoscene #oldskool
🦋 @slimeysmine.bsky.social
💬 https://discord.gg/ddqErjzvNX
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
@PyTorch "My learning style is Horace twitter threads" -
@typedfemale
🧙🏻♀️ scientist at Meta NYC | http://bamos.github.io
Applied Scientist in Industry. Previously UCSD. Princeton PhD.
Follow me for recreational methods trash talk.
www.rexdouglass.com
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
Assistant Professor at Stanford
Machine learning, algorithm design, econ-CS
https://vitercik.github.io/
🎓 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/
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
LLM evaluation
Head of Research at Abacus.AI. PhD from CMU
https://crwhite.ml
Postdoctoral Research Scientist in Statistics at Columbia University
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Associate professor leading EPFL's Realistic Graphics Lab. My research involves inverse graphics, material appearance modeling and physically based rendering
USC CS Ph.D. student
Prev Tsinghua Uni
NLP, Multimodal Learning, AI for Science
https://saccharomycetes.github.io/
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
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/
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
Code, AI, and 3D printing. Opinions are my own, not my computer's...for now. Co-creator of DALL-E 2. Researcher @openai.
Associate Professor, ESADE | PhD, Machine Learning & Public Policy, Carnegie Mellon | Previously FAccT EC | Algorithmic fairness, human-AI collab | 🇨🇴 💚 she/her/ella.
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
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
machine learning asst prof at @cs.ubc.ca and amii
statistical testing, kernels, learning theory, graphs, active learning…
she/her, 🏳️⚧️, @queerinai.com
Academy 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.
Web page https://users.aalto.fi/~ave/
Working on fully open-source LLMs and training data. We believe in community-owned AI.
https://www.llm360.ai
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
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
The steward of the Open Source Definition, the foundation of the modern software ecosystem. We build a world where the freedoms and opportunities of Open Source software can be enjoyed by all. #OpenSource
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
NLP PhD @ USC
Everything language, humans, felines and music
(and an infrequent shit-poster)
brihijoshi.github.io
CS PhD Student @USC.
deqingfu.github.io
Computer Simulations, Computational Intelligence, AI.
Research professor and interim CEO acellera.com.
Lab: www.compscience.org
Scholar: https://scholar.google.com/citations?hl=en&user=-_kX4kMAAAAJ&view_op=list_works&sortby=pubdate
AI for biology | Stanford and Arc Institute
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
Professor of Computer Science, Stanford - HCI & Design, Co-Founder & Co-Director Stanford HAI @stanfordhai.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
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Anaconda Founder&Head of AI; created the PyData movement, PyScript, Bokeh, Datashader; Fellow @ Python Software Foundation; Center for Humane Tech
Game~B; Physics, Cybernetics, Memetics. A student of the human condition.
Memento mori
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io
RS DeepMind. Works on Unsupervised Environment Design, Problem Specification, Game/Decision Theory, RL, AIS. prev CHAI_Berkeley
Assistant Professor / Faculty Fellow @nyudatascience.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
ASA Fellow; #rstats developer of graphical methods for categorical and multivariate data; #datavis history of data visualization; #historicaldatavis; Milestones project
Web: www.datavis.ca
GitHub: github.com/friendly
AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
I do SciML + open source!
🧪 ML+proteins @ http://Cradle.bio
📚 Neural ODEs: http://arxiv.org/abs/2202.02435
🤖 JAX ecosystem: http://github.com/patrick-kidger
🧑💻 Prev. Google, Oxford
📍 Zürich, Switzerland
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
