AGI safety researcher at Google DeepMind, leading causalincentives.com
Personal website: tomeveritt.se
Cognitive neuroscientist and AI researcher
staff attorney @ Knight First Amendment Institute | he/him
Theoretical neuroscientist
Research fellow @ Kempner Institute, Harvard
dclark.io
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
Research director @Inria, Head of @flowersInria
lab, prev. @MSFTResearch @SonyCSLParis
Artificial intelligence, cognitive sciences, sciences of curiosity, language, self-organization, autotelic agents, education, AI and society
http://www.pyoudeyer.com
Professor at Wharton, studying AI and its implications for education, entrepreneurship, and work. Author of Co-Intelligence.
Book: https://a.co/d/bC2kSj1
Substack: https://www.oneusefulthing.org/
Web: https://mgmt.wharton.upenn.edu/profile/emollick
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind
#machinelearning, #nlp
victorzhong.com
Philosophy of AI and Mind, but with a historical bent. Baruch College.
My dog is better than your dog.
https://www.jacob-browning.com/
Staff Research Scientist, People + AI Research (PAIR) team at Google DeepMind. Interpretability, analysis, and visualizations for LLMs. Opinions my own.
iftenney.github.io
Founder of Cognitive Resonance, a new venture dedicated to helping people understand human cognition and generative AI. Advocate for humans.
Newsletter: https://buildcognitiveresonance.substack.com/
Personal Account
Founder: The Distributed AI Research Institute @dairinstitute.bsky.social.
Author: The View from Somewhere, a memoir & manifesto arguing for a technological future that serves our communities (to be published by One Signal / Atria
Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics
https://chanb.github.io/
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/
BOOK: AI Snake Oil. https://www.aisnakeoil.com/
👩🔬 Scientist @AllenInstitute / Neural Dynamics
🧠 RL models of Neuromodulators
🐮 Cow Enthusiast
🎓 Phd Princeton Neuro
Prev: @Deepmind @Microsoft @Stanford
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
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
I study brains and sometimes use one.
https://www.alylab.org/
TMLR Homepage: https://jmlr.org/tmlr/
TMLR Infinite Conference: https://tmlr.infinite-conf.org/
Research Scientist at Google DeepMind. Working on Gemini reasoning models.
PhD from UofT and Vector Institute
www.paulvicol.com
member of technical staff @stanfordnlp.bsky.social
NYU professor, Google research scientist. Good at LaTeX.
Postdoc at CBS, Harvard University
(New around here)
Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle.
http://ptshaw.com
cybernetic cognitive control
computational cognitive neuroscience
Connected Minds Fellow @ Queens University + RRI
he/him 🇨🇦 harrisonritz.github.io
Cognitive neuroscience at MIT. Open science. 🇨🇦
Saxelab.mit.edu
Neuro and AI researcher at @cimec_unitrento IT. Previously: NSF Program Director, ERC grantee, UChicago, Princeton, HUJI. Note 👉 there's a homonym 👬 at Princeton (my Alma Mater). Follow the right profile! Pubs: http://tinyurl.com/yckcw2v8
Neuroscience & AI at University of Oxford and University of Cambridge | Principles of efficient computations + learning in brains, AI, and silicon 🧠 NeuroAI | Gates Cambridge Scholar
www.jachterberg.com
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Depts. of Psychology & Psychiatry, U. Wisconsin–Madison
Editor-in-Chief, Journal of Cognitive Neuroscience
Director, Psychology Research Experience Program (summer program for URM/low-income/1st-gen undergrads)
AI researcher | PhD from NYU Data Science | Bulgarian yogurt, prime numbers, and dogs bring me joy | she/her | https://kevtimova.github.io/
Author: Artificial Intuition, Fluency & Empathy, DL Playbook, Patterns for Generative AI, Patterns for Agentic AI
https://twitter.com/IntuitMachine
https://intuitionmachine.gumroad.com
https://medium.com/intuitionmachine
Cognitive neuroscience. Deep learning. PhD Student at Princeton Neuroscience with @cocoscilab.bsky.social and Cohen Lab.
Cognitive scientist, philosopher, and psychologist at Berkeley, author of The Scientist in the Crib, The Philosophical Baby and The Gardener and the Carpenter and grandmother of six.
Professor of psychology at UC Berkeley. Studies how people form beliefs, why the beliefs are sometimes flawed, & how new tech impacts those beliefs.
linguist, experimental work on meaning (lexical semantics), language use, representation, learning, constructionist usage-based approach, Princeton U https://adele.scholar.princeton.edu/publications/topic
VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine.
Opinions my own.
https://danilorezende.com/
ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
GPU Geek at @OpenAI. Background Comp/Systems/Cognitive Neuroscience. Strong interest in exploring the incorporation of more Neuro insights into AI/ML. He/Him.
Boutique Neurotheory & Snazz Compneuro at IST Austria
Staff Research Engineer @ Google DeepMind
PhD Candidate @ UCL
🇵🇸
RS DeepMind. Works on Unsupervised Environment Design, Problem Specification, Game/Decision Theory, RL, AIS. prev CHAI_Berkeley
https://mega002.github.io
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)
Research Scientist at Google DeepMind.
Research scientist at NVIDIA. Learned physics models, generative video & more.
Computational cognitive scientist interested in learning and decision-making in human and machiches
Research director of the Human Reinforcement Learning team
Ecole Normale Supérieure (ENS)
Institut National de la Santé et Recherche Médicale (INSERM)
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
The Cognitive Computational Neuroscience Conference is an annual forum for discussion among researchers in cognitive science, neuroscience, and AI, dedicated to understanding the computations that underlie complex behavior.
https://2025.ccneuro.org
Research scientist at Google DeepMind.
Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
Studying language in biological brains and artificial ones at the Kempner Institute at Harvard University.
www.tuckute.com
Assistant professor at NYU.
Computational models of episodic memory
Postdoc with Daphna Shohamy & Stefano Fusi @ Columbia
PhD with Ken Norman & Uri Hasson @ Princeton
https://qihongl.github.io/
neuroscientist, psychiatrist, writer
optogenetics.org
karldeisseroth.org
https://www.amazon.com/Projections-Story-Emotions-Karl-Deisseroth/dp/1984853694
Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience.
Likes studying learning+memory, hippocampi, and other things brains have and do, too.
she/her.
computational cognitive science @ nyu. director NYU minds, brains, and machines initiative. https://gureckislab.org. Are you interested in research in my lab? https://intake.gureckislab.org/interest/
Cognitive neuroscientist.
Professor at College de France in Paris.
Head of the NeuroSpin brain imaging facility in Saclay.
President of the Scientific Council of the French national education ministry (CSEN)
distributed (diloco) + modularity (dipaco) + llm @ deepmind | continual learning phd @ sorbonne
machine learning asst prof at @cs.ubc.ca and amii
statistical testing, kernels, learning theory, graphs, active learning…
she/her, 🏳️⚧️, @queerinai.com
Research in NLP (mostly LM interpretability & explainability).
Assistant prof at UMD CS + CLIP.
Previously @ai2.bsky.social @uwnlp.bsky.social
Views my own.
sarahwie.github.io
Jack of all trades, master of some
•ⒶⒾ@DeepMind
•Personal account
•Mostly AI/ML/CS/biotech/physics/math/complexity/art/animals
•They/Any
•⚛️🏳️🌈🇬🇧🇨🇦🇺🇸🇪🇺
building the future
research at midjourney, deepmind. slinging ai hot takes 🥞at artfintel.com
Doing spooky things with linear algebra.
AI Researcher, Writer
Stanford
jaredmoore.org
Research Scientist at Google | Interested in rigorous evaluations, cognitive science, multi-agent systems and causality | Prev: Vector Institute, Mila, Max Planck Institute, ETH Zurich
https://ninodimontalcino.github.io/
Research Scientist @ Google DeepMind. AI + physics. Prev Ph.D. @ UC Berkeley.
https://sites.google.com/view/yasamanbahri/home/
Research scientist in machine learning at Google DeepMind, theatre director and co-founder of Improbotics, visiting researcher at Goldsmiths. Ex-Bell Labs, Microsoft, PhD at NYU. Work in AI for weather and climate & AI for artistic creativity. he/him.
Assistant Professor at Mount Sinai
Faculty @sinaiccp.bsky.social @sinaibrain.bsky.social
PI, Dynamics of Cognition and Affect Lab (www.radulesculab.org)
https://www.angelaradulescu.com/
🌈 (she/they)
dumbest overseer at @anthropic
https://www.akbir.dev
Assistant Professor at UW and Staff Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)
RL researcher at DeepMind
https://schaul.site44.com/ 🇱🇺
I can be described as a multi-agent artificial general intelligence.
www.jzleibo.com
Staff research scientist at Google DeepMind. AI and neuro.
Former physicist, current human.
Find more at www.janexwang.com
AI research engineer, glider pilot. Apple Lisa power user. @stepleton@oldbytes.space on Mastodon. Most of my posts will be about old computers; occasionally I'll mention flying.
Research Scientist @ Google DeepMind
I am an Engineering Fellow at Google DeepMind, creating bridges between AI research and product.
JAX & Flax @ GoogleDeepmind
Gemini, neural net frameworks & performance
video games, and other random things
she/her, wife of a wife 🌈
RS at DeepMind.
willwhitney.com
Research Scientist at Google DeepMind
CS prof at University of Waterloo and Research Scientist at Google DeepMind.
stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
Blog: https://sander.ai/
🐦: https://x.com/sedielem
Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
Research Director @GoogleDeepMind. Co-lead of Veo, working on generative models of video and their fun applications.
Scientist @ Google DeepMind
