Stephanie Chan
Staff Research Scientist at Google DeepMind. Artificial and biological brains 🤖 🧠
@david-g-clark.bsky.social
Theoretical neuroscientist Grad student @ Columbia dclark.io
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@pyoudeyer.bsky.social
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
@emollick.bsky.social
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
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@vzhong.bsky.social
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
@jake-browning.bsky.social
Philosophy of AI and Mind, but with a historical bent. NYU. My dog is better than your dog. https://www.jacob-browning.com/
@iftenney.bsky.social
Staff Research Scientist, People + AI Research (PAIR) team at Google DeepMind. Interpretability, analysis, and visualizations for LLMs. Opinions my own. iftenney.github.io
@benjaminjriley.bsky.social
Founder of Cognitive Resonance, a new venture dedicated to helping people understand human cognition and generative AI. Advocate for humans.
@timnitgebru.bsky.social
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
@neurograce.bsky.social
Assistant 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" http://tinyurl.com/h9dn4bw7
@lauraruis.bsky.social
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.
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@randomwalker.bsky.social
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/
@malmaud.bsky.social
@rachelee.bsky.social
👩🔬 Scientist @AllenInstitute 🧠 RL models of Neuromodulators 🐮 Cow Enthusiast 🎓 Phd Princeton Neuro Prev: @Deepmind @Microsoft @Stanford
@eugenevinitsky.bsky.social
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
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@paulvicol.bsky.social
Research Scientist at Google DeepMind. Working on Gemini reasoning models. PhD from UofT and Vector Institute www.paulvicol.com
@ptshaw.bsky.social
Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle. http://ptshaw.com
@hritz.bsky.social
cybernetic cognitive control 🤖 computational cognitive neuroscience 🧠 postdoc princeton neuro 🍕 he/him 🇨🇦 harrisonritz.github.io
@rebeccasaxe.bsky.social
Cognitive neuroscience at MIT. Open science. 🇨🇦 Saxelab.mit.edu
@urihasson.bsky.social
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
@achterbrain.bsky.social
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
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@bradpostle.bsky.social
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)
@stochasticdoggo.bsky.social
AI researcher | PhD from NYU Data Science | Bulgarian yogurt, prime numbers, and dogs bring me joy | she/her | https://kevtimova.github.io/
@ceperez.bsky.social
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
@thisisadax.bsky.social
Cognitive neuroscience. Deep learning. PhD Student at Princeton Neuroscience with @cocoscilab.bsky.social and Cohen Lab.
@alisongopnik.bsky.social
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.
@celestekidd.bsky.social
Professor of psychology at UC Berkeley. Studies how people form beliefs, why the beliefs are sometimes flawed, & how new tech impacts those beliefs.
@adelegoldberg.bsky.social
linguist, experimental work on meaning (lexical semantics), language use, representation, learning, constructionist usage-based approach, Princeton U https://adele.scholar.princeton.edu/publications/topic
@danilojrezende.bsky.social
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/
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@scottgray76.bsky.social
GPU Geek at @OpenAI. Background Comp/Systems/Cognitive Neuroscience. Strong interest in exploring the incorporation of more Neuro insights into AI/ML. He/Him.
@yaringal.bsky.social
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)