PhD student: multi-AI systems
Founder of @pholus.co. Helping leaders protect reputation, prevent failure, and regain momentum when conventional playbooks fall short.
Perspectives my own, not those of my employer https://arjunsubramonian.github.io/
Partner Research Manager at Microsoft Research NYC. AI, Economics, Decision Science.
UW-Madison, Univ. of Galway, NBER
C.V.: https://uwmadison.box.com/s/kkaquhtv5b2og4yo6md5p34f7q7gx1ju
Banner image: Free Clinic (detail), Jacob Lawrence, 1937
NLP, Linguistics, Cognitive Science, AI, ML, etc.
Job currently: Research Scientist (NYC)
Job formerly: NYU Linguistics, MSU Linguistics
Host of Lex Fridman Podcast.
Interested in robots and humans.
Director of Policy at the Future of Life Institute (FLI). Previously Dutch diplomat. Coordinate work on AI governance, including autonomous weapons, across the EU, US and UN system.
AI policy researcher, wife guy, fan of cute animals and sci-fi, executive director of AVERI, Substacker
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
AI in Bio & Health & Therapeutic Development
Bio: https://linktr.ee/mnarayan
Substack: https://blog.neurostats.org
Peek into my brain: notes.manjarinarayan.org
Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS
🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
Frontier alignment research to ensure the safe development and deployment of advanced AI systems.
AI prof at Mila (HEC) trying to make the future more cooperative and cool 😎🌍️
Deep learning, real-world generalization, responsible AI, safety, risk, climate, ecology, artscience, opensource, anticolonial AI
they/she
teganmaharaj.neocities.org
LM/NLP/ML researcher ¯\_(ツ)_/¯
yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / associate faculty director @ arXiv.org / researcher @ ASAPP / starting @colmweb.org / building RecNet.io
AI @ OpenAI, Tesla, Stanford
Associate professor of social computing at UW CSE, leading @socialfutureslab.bsky.social
social.cs.washington.edu
Journalist with bylines in Nature, Quanta, Scientific American, New Scientist, and many more; former deputy news editor at New Scientist Author of 4 popular science books, including WHY MACHINES LEARN: The Elegant Math Behind Modern AI; TED speaker
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/
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.
AI scientist & consultant :: prev Amazon Alexa, Toshiba, Cam Uni :: voice & language tech :: powered by coffee :: photographer :: Cambridge UK
https://www.catherinebreslin.co.uk
Postdoc researcher, incoming Assistant Professor (@Harvard -- Government). PhD (@Wharton - @Penn). interests: causality, ML
Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences
https://keyonvafa.com
Postdoctoral Research Scientist in Statistics at Columbia University
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Master student at ENS Paris-Saclay / aspiring AI safety researcher / improviser
Prev research intern @ EPFL w/ wendlerc.bsky.social and Robert West
MATS Winter 7.0 Scholar w/ neelnanda.bsky.social
https://butanium.github.io
Computer Science PhD Student @ Stanford | Geopolitics & Technology Fellow @ Harvard Kennedy School/Belfer | Vice Chair EU AI Code of Practice | Views are my own
Machine learning prof at U Toronto. Working on evals and AGI governance.
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Data Science, Causal Inference, Economics, Statistics and Machine Learning
Two joys in life:
[1] Learning something interesting about the world
[2] Telling people about it
Data Science @OpenAI
Metascience, philanthropy, partner acrobatics
Econometrics professor and author. Dogs = 2, cats >= 10.
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Assistant Prof of AI & Decision-Making @MIT EECS
I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL.
I work on value (mis)alignment in AI systems.
https://people.csail.mit.edu/dhm/
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
Breakthrough AI to solve the world's biggest problems.
› Join us: http://allenai.org/careers
› Get our newsletter: https://share.hsforms.com/1uJkWs5aDRHWhiky3aHooIg3ioxm
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
policy for v smart things @openai. Past: PhD @HarvardSEAS/@SchmidtFutures/@MIT_CSAIL. Posts my own; on my head be it
AI safety at Anthropic, on leave from a faculty job at NYU.
Views not employers'.
I think you should join Giving What We Can.
cims.nyu.edu/~sbowman
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/
Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
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.
Interpretable Deep Networks. http://baulab.info/ @davidbau
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
.edu: associate professor @columbia;
.org: cofounder @hackNY;
.com: chief data scientist @nytimes;
books: http://amzn.to/3J1tFnr
Associate Professor at MIT EECS, LIDS.
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.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/
Assistant professor of chemistry at the Technical University of Denmark (DTU). Also at Jura Bio. machine learning, statistics, chemistry, biophysics
https://eweinstein.github.io/
Assistant Prof of Statistics at Rutgers
Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania.
https://www.gemma-moran.com
Aussie 🦘| NYC-based 🗽
machine learning and artificial intelligence | University of Chicago / Google
🤖 Building AI agents & interactive environments: 🌍 AppWorld (https://appworld.dev) #NLProc PhD @stonybrooku. Past intern Allen AI & visitor CILVR at NYU.
🐦 https://x.com/harsh3vedi
🌐 https://harshtrivedi.me/
SciComm of Academic NLP Papers | Research Scientist | Explainability, Prompting, Benchmarking, Metrics, Red-Teaming & Eval of LLMs
https://nlpurr.github.io/
#NLP / #NLProc , #dataScience, #AI / #ArtificialIntelligence, #linguistics (#syntax, #semantics, …), occasional #parenting, #gardening, & what not. PhD. Adjunct prof once in a full red moon. Industry / technical mentor. Not my opinion, never my employer’s
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
Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Computer Science -- Computation and Language
source: export.arxiv.org/rss/cs.CL
maintainer: @tmaehara.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app
