Yuda Song
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@chongzhang.bsky.social
Stupid #robotics guy at ETHz Twitter: https://x.com/ChongZitaZhang Research Website: https://zita-ch.github.io/
@ricky-esse.bsky.social
@nico-espinosa-dice.bsky.social
cs phd student @cornelluniversity.bsky.social. previously @harveymuddcollege.bsky.social. working on reinforcement learning & generative models. https://nico-espinosadice.github.io/
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@ncklashansen.bsky.social
PhD student at UCSD. NVIDIA fellow. Prev: Meta AI, UC Berkeley, DTU. Interested in reinforcement learning and robots. 🏳️🌈 they/he https://www.nicklashansen.com
@danielrjiang.bsky.social
Research Scientist Meta, Adjunct Professor at University of Pittsburgh. Interested in reinforcement learning, approximate DP, adaptive experimentation, Bayesian optimization, & operations research. http://danielrjiang.github.io 📍Chicago, IL
@kennethmarino.bsky.social
Assistant Prof at University of Utah Fall 2025. NLP+CV+RL. RS at Google DeepMind. PhD from CMU MLD, undergrad Georgia Tech. Sometimes researcher, frequent shitposter.
@jhamrick.bsky.social
Senior staff research scientist at Google DeepMind. Opinions my own. She/her. Reasoning in LLMs 🤖 / planning 💭 / model-based RL 🌍 / cognitive science 🧠 / flowers🌷 / parenting 👶 / games 🎮 / public transit 🚆 http://www.jesshamrick.com
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@arslanchaudhry.bsky.social
Research Scientist GoogleDeepMind Ex @UniofOxford, AIatMeta, GoogleAI
@matteobettini.bsky.social
PhD Candidate at Cambridge | ex Meta, Amazon | Studying diversity in multi-agent and multi-robot learning https://matteobettini.com/
@godpod.bsky.social
Creator of the Universe. Daily free newsletter & animated podcast here: https://www.thegodpodcast.com
@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, ...
@henrypinkard.bsky.social
AI for science. Science for AI. Formerly: UC Berkeley Computational Imaging Lab + Berkeley AI Research Lab https://henrypinkard.github.io/
@robinchauhan.bsky.social
Host TalkRL Podcast, Aspiring RL researcher AgFunder VC Head of Eng, Ex-MSFT, Waterloo computer engineering Sunshine Coast BC Canada
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@jonathancheng.bsky.social
Current: Research Scientist@RiotGames Prev: Research Scientist@Apple Work Research: LLMs After Hours Research: Model Interp Prior Research: RecSys English PhD - 19C Brit Lit Based in Chicago 🏳️🌈 he/him
@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?👌…)
@harukins.bsky.social
Senior Research Scientist at Toyota Research Institute. Interested in safe and trustworthy embodied autonomous systems. Previously a PhD student at Stanford Aero/Astro. https://harukins.github.io
@tsay.bsky.social
Assistant Professor of Psychology at Carnegie Mellon University | Studying how we acquire, adapt, and retain skilled movements | Physical Intelligence Lab: www.tsaylab.com
@skiandsolve.bsky.social
⛷️ 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
@benstew.bsky.social
Research Fellow at Open Philanthropy, on catastrophic risks from AI and biology. Own views. 🔸 giving 10% of my lifetime income to effective charities via Giving What We Can
@rmhl.bsky.social
Postdoc, UC Berkeley (BAIR), generative AI, variational inference. Currently researching AI for science. Prev. PhD at DTU CogSys and WSA (generative audio models), MSc/RA at DTU (ML for functional neuroimaging). rasmusmhl.github.io
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@kjha02.bsky.social
CS PhD Student @University of Washington, CSxPhilosophy @Dartmouth College Interested in MARL, Social Reasoning, and Collective Decision making in people, machines, and other organisms kjha02.github.io
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@harwiltz.bsky.social
PhD student at Mila / McGill. Studying distributional RL for transfer across risk-sensitive utilities, and for long-horizon high-frequency decision-making.
@naveenraman.bsky.social
Machine Learning PhD at Carnegie Mellon University. AI + Decision Making for social good. naveenraman.com
@richardyrli.bsky.social
AI, RL, LLMs, Data Science | PhD @cuhksz. | ex @MSFTResearch @TencentGlobal | On Job Market https://richardli.xyz/
@faresfourati.bsky.social
PhD candidate at KAUST. Working on RL, bandits, and optimization. fouratifares.github.io/website/
@yalim.bsky.social
Assistant Research Professor, Computational Research Accelerator, a supercomputing-adjacent unit @ Arizona State University. We scale science with #HPC. Vice-Chair RMACC. PhD Applied Math. on stratified fluid flows. math.la.asu.edu/~yalim Views my own
@bebark.bsky.social
CS PhD at UT Austin Sequential decision making and generative modeling are cool. Lapsed aerospace engineer. Banned on that other platform during my first post. https://bebark.github.io/
@nick11roberts.bsky.social
Ph.D. student at UW-Madison. Working on automating foundation model guided science. Previously at CMU, UCSD, Fresno City College. https://nick11roberts.science
@juand-r.bsky.social
CS PhD student at UT Austin in #NLP Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models! Other interests: math, philosophy, cinema https://www.juandiego-rodriguez.com/
@wesleydeng.bsky.social
Ph.D. @ CMU HCII. Developing tools and processes to support Responsible AI practices on the ground. Currently focusing on AI red-teaming, auditing, and impact assessment. Prev. Microsoft Research, Berkeley EECS. https://www.wesleydeng.com
@junhongshen1.bsky.social
PhD Student in Machine Learning @CMU | BS @UCLA | Interning @Meta | Interned @MSFTResearch @DeterminedAI
@vaishnavh.bsky.social
Foundations of AI. I like toy examples and creative ideas. 🧮🧸 Google Research | PhD, CMU | https://arxiv.org/abs/2403.06963 vaishnavh.github.io