Co-Founder & CEO, Sakana AI 🎏 → @sakanaai.bsky.social
https://sakana.ai/careers
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Sr Principal Research Manager, Microsoft Research NYC. ICML 2026 PC. Machine Learning, AI Fairness.
Research Scientist at Google DeepMind and Professor of Computer Science and Engineering at the University of Michigan. Interested in Reinforcement Learning and Artificial Intelligence.
Foundation Models for Generalizable Autonomy.
Assistant Professor in AI Robotics, Georgia Tech
prev Berkeley, Stanford, Toronto, Nvidia
4th year PhD Candidate @ UCI working w/ Padhraic Smyth and Sameer Singh
Language scientist at UC Irvine
ML researcher, teacher, professor, Dad, Irish, ...
ML Research Scientist at Dell AI by day, RL Researcher at night
https://rushivarora.github.io
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
RS at Nvidia focussing on autonomous vehicles, simulation and RL. Opinions my own and do not represent those of my employer, Nvidia.
Professor a NYU; Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com
Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
Faculty at the University of Pennsylvania. Lifelong machine learning and AI for robotics and precision medicine: continual learning, transfer & multi-task learning, deep RL, multimodal ML, and human-AI collaboration. seas.upenn.edu/~eeaton
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents.
Associate Professor at Polytechnique Montréal and Mila. 🇨🇦
academic.sologen.net
Came for the neuro; stayed for the AI. https://sean-escola.github.io/
🎓 Postdoctoral Researcher @UCIrvine 🤖 Artificial Intelligence and Robotics 📍 Los Angeles 🇺🇲
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making.
11-14 June 2025.
Trinity College Dublin.
https://rldm.org/
Researching reasoning at OpenAI | Co-created Libratus/Pluribus superhuman poker AIs, CICERO Diplomacy AI, and OpenAI o-series / 🍓
Probabilistic ML researcher at Google Deepmind
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
research @ Google DeepMind
Breakthrough AI to solve the world's biggest problems.
› Join us: http://allenai.org/careers
› Get our newsletter: https://share.hsforms.com/1uJkWs5aDRHWhiky3aHooIg3ioxm
Assistant Prof at @UMontreal @mila-quebec.bsky.social @MontrealRobots
. CIFAR AI Chair, RL_Conference chair. Creating generalist problem-solving agents for the real world. He/him/il.
Building the future of mobile manipulation
Researcher in all things Neuro
Also at mastodon.social/@matrig
Intelligent Autonomous Systems Group @TUDarmstadt working on Robot Learning, the intersection of robotics and machine learning.
Led by Prof. Jan Peters
https://www.ias.informatik.tu-darmstadt.de
Professor of Computing Science at the University of Alberta. Interested in AI, reinforcement learning, and games of all sorts.
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
AI & Transportation | MIT Associate Professor
Interests: AI for good, sociotechnical systems, machine learning, optimization, reinforcement learning, public policy, gov tech, open science.
Science is messy and beautiful.
http://www.wucathy.com
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
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/
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
AI and cognitive science, Founder and CEO (Geometric Intelligence, acquired by Uber). 8 books including Guitar Zero, Rebooting AI and Taming Silicon Valley.
Newsletter (100k subscribers): garymarcus.substack.com
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Professor at Imperial College London and Principal Scientist at Google DeepMind. Posting in a personal capacity. To send me a message please use email.
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
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.
Assistant Professor at the University of Alberta. Amii Fellow, Canada CIFAR AI chair. Machine learning researcher. All things reinforcement learning.
📍 Edmonton, Canada 🇨🇦
🔗 https://webdocs.cs.ualberta.ca/~machado/
🗓️ Joined November, 2024
Research scientist at Google DeepMind.
Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC.
> https://sites.google.com/corp/view/rltheoryseminars
AI and robotics researcher at Technion
avivt.github.io/avivt/
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Large-Scale Robot Decision Making @GoogleDeepMind European @ELLISforEurope - imitation interaction transfer - priors: @oxfordrobots @berkeley_ai @ETH @MIT
Professor for AI at Hasso Plattner Institute and University of Potsdam
Berlin (prev. Rutgers NJ USA, Tsinghua Beijing, Berkeley)
http://gerard.demelo.org
Information and updates about RLC 2026 at Montreal, Quebec, Canada, from August 16 to 19.
https://rl-conference.cc
Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and
@GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.
theory of neural networks for natural and artificial intelligence
https://pehlevan.seas.harvard.edu/
full-time ML theory nerd, part-time AI-non enthusiast
Associate Professor at Northeastern University and father of 3. Interests include artificial intelligence, reinforcement learning, and robotics (he/him).
Assistant Professor, Paul G. Allen School of Computer Science and Engineering, University of Washington
Visiting Faculty, NVIDIA
Ph.D. from Berkeley, Postdoc MIT
https://homes.cs.washington.edu/~abhgupta
I like robots and reinforcement learning :)
Research Associate Professor in CS at UT Austin. I research how humans can specify aligned reward functions.
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦.
https://psc-g.github.io/
Professor, Department of Psychology and Center for Brain Science, Harvard University
https://gershmanlab.com/
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
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/
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
NYU professor, Google research scientist. Good at LaTeX.
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
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
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
Assistant Professor of CS @nyuniversity.
I like robots!
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
Assistant prof at LTI CMU. Working on NLP: language interfaces, applied pragmatics, language-to-code, grounding. https://dpfried.github.io/
Associate prof @ UMass Amherst CICS.
AIignment, reinforcement learning, imitation learning, and robotics.
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.
Primarily Robotics and AI. Distinguishing hype-notism from plausibility one press release at a time. rodneybrooks.com/blog people.csail.mit.edu/brooks
AI and Games Researcher at NYU. Head of AI at Nof1.
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
Professor of Computer Science at Oxford. Senior Staff Research Scientist at Waymo.
RL researcher at DeepMind
https://schaul.site44.com/ 🇱🇺
RS DeepMind. Works on Unsupervised Environment Design, Problem Specification, Game/Decision Theory, RL, AIS. prev CHAI_Berkeley
Assistant professor at Cornell Psychology Department. CoCoCo Lab (Cornell Computational Cognition Lab) @co3lab.bsky.social. I am recruiting!
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
The CoCoCo Lab studies how our sensory and cognitive abilities are determined by experience and culture. PI: Nori Jacoby
@norijacoby.bsky.social https://www.norijacoby.com/cococo.html
Particle physics and ML (http://sites.uci.edu/daniel). Co-creator @DandKUniverse podcast and @ElinorWonders TV. Patreon: https://patreon.com/DanielWhiteson.
Presidential Assistant Professor of Neuroscience at UPenn 🧠
Previously: Postdoc at Stanford, Columbia PhD, CTRL-labs Co-founder.
Artist, Prof. of Engineering @UCBerkeley, Chief Scientist, @AmbiRobotics & @JacobiRobotics. Interested in robots, rockets, redwoods, rebels.
Computational cognitive scientist, developing integrative models of language, perception, and action. Assistant Prof at NYU.
More info: https://www.nogsky.com/
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.