@stochasticchasm.bsky.social
aspiring independent researcher exploring the loss landscape • 24 • interested in reasoning, creativity, intelligence stochasm.blog
@ktlr.bsky.social
CS prof at University of Waterloo and Research Scientist at Google DeepMind.
@compthink.bsky.social
Assoc Prof @UWaterloo See you at #neurips24 Research: #ArtificialIntelligence #MachineLearning #ReinforcementLearning #casual-learning, dimensionality reduction, #ethicalAI #aimorality #aialignment Domains: wildfires, driving, medical, video games
@samvelyan.com
Research Scientist @ Google DeepMind. Previously Meta (FAIR), Reddit, PhD UCL, MSc Oxford. samvelyan.com
@ghadfield.bsky.social
Economist and legal scholar turned AI researcher focused on AI alignment and governance. Prof of government and policy and computer science at Johns Hopkins where I run the Normativity Lab. Recruiting CS postdocs and PhD students. gillianhadfield.org
@karltuyls.bsky.social
Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and @GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.
@nachristakis.bsky.social
Sterling Professor of Social and Natural Science at Yale University. Sociologist. Network Scientist. Physician. Author of Apollo's Arrow; Blueprint; Connected; and Death Foretold. Director of the Human Nature Lab: https://humannaturelab.net
@urihertz.bsky.social
PI at the cog-sci dept at the university of Haifa. Social-cognitive-computational psychology, and sometimes neuroscience. www.socialdecisionlab.net
@malseminar.bsky.social
Website: https://sites.google.com/view/berkeleymarl/home YouTube: https://www.youtube.com/channel/UCta12yCIYeiddDTG-0EaETg
@anastasiabzv.bsky.social
Assistant professor at Cornell; collective behavior, networks, control, dynamical systems, nonlinearity https://anastasiabzv.github.io
@zhuhao.me
AI researcher. Postdocing at Stanford NLP. Prev: PhD CMU LTI. Visit https://zhuhao.me Raising agents in the Opensocial.world
@praked.bsky.social
Swarm Robotics @University of Konstanz Ex Bee Dance Robot Person @FU Berlin Alumnus @IIIT Bangalore Hardware all the way, Maker, Roboticist, blah blah......
@carlo.pinciroli.net
Associate Prof. at Worcester Polytechnic Institute, I study #algorithms and #software #engineering for #robot #swarms. I bake stuff in my spare time. https://carlo.pinciroli.net #robotics #multirobot #multiagent #ai #risotto
@eaduenez.bsky.social
AI researcher, Cooperative AI, AI for Social Good, Multi Agent Systems, Game Theory, Evolutionary Biology. Opinions are my own.
@gioramponi.bsky.social
Assistant Professor at UZH, group leader of the ALPILab 🌼 Working on RL, multi-agent, imitation learning, and other sequential decision-making stuff
@patrickshafto.bsky.social
Prof: Rutgers; Program Manager: DARPA; Scientist-at-Large: Redpoll. Math! Machine learning! Cognitive Science!
@matejjusup.bsky.social
• A PhD in multi-agent reinforcement learning at ETH Zurich • A chess enthusiast - 2585 Elo @Chesscom) • Developed the first language model at Google DeepMind capable of playing the game at near super-human level (3200 Elo).
@hellojas.bsky.social
making coffee (to make robots (to make coffee)) @ deepmind nyc find me at your local coffee shop, climbing gym, or music studio. ✨ hellojas.studio
@lukemarris.bsky.social
Research Engineer at Google DeepMind. Interests in game theory, reinforcement learning, and deep learning. Website: https://www.lukemarris.info/ Google Scholar: https://scholar.google.com/citations?user=dvTeSX4AAAAJ
@djain.bsky.social
HCI Assistant Professor at UMich researching accessibility, audio AI, sound interaction, XR, and health. Director, Soundability Lab. Previously, Google, Apple, Microsoft, UW, and MIT Media Lab. https://dhruv-jain.com
@lukaschaefer.bsky.social
www.lukaschaefer.com Researcher @msftresearch.bsky.social; working on autonomous agents in video games; PhD Univ of Edinburgh ; Ex Huawei Noah’s Ark Lab, Dematic; Young researcher HLF 2022
@pablogmorato.bsky.social
Postdoctoral Researcher @TUDelft Multi-agent reinforcement learning, probabilistic deep learning, computer vision, wind energy. Opinions are “probably” my own.
@ricczamboni.bsky.social
PhD student @polimi | Reinforcement Learning @rl3polimi | I do stuff, I see stuff. Some with purpose, most by chance. https://ricczamboni.github.io
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@optimistsinc.bsky.social
Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@bipr.bsky.social
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@carl-allen.bsky.social
Laplace Junior Chair, Machine Learning ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..) Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/