Tomer Galanti
Assistant Professor at Texas A&M. prev Postdoc @MIT 24', Ph.D. @TelAvivUni 21', RS intern @DeepMind 21'. My views are 30% my own and 70% my parents'.
Webpage: http://tomergalanti.github.io
@bwaber.bsky.social
MIT Researcher, he/him, Senior Visiting Researcher @ Ritsumeikan, Co-Founder of Humanyze, former Senior Researcher @ HBS, author of People Analytics. AI, management, law, corporate governance, psychology, anthropology, ethics, and similar topics
@zhaoyangw.bsky.social
CS PhD student at the University of Birmingham. Research interests: automated machine learning-AutoAI (Bayesian Optimization & meta-learning) and reinforcement learning. 🏳️🌈. https://www.linkedin.com/in/zhaoyang-w-4995b5269/
@noamrazin.bsky.social
Postdoctoral Fellow at Princeton Language and Intelligence | Past: Computer Science PhD at Tel Aviv University & Apple Scholar in AI/ML | Interested in the foundations of deep learning https://noamrazin.github.io/
@atlaswang.bsky.social
https://vita-group.github.io/ 👨🏫 UT Austin ML Professor (on leave) https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab) Superpower is trying everything 🪅 Newest focus: training next-generation super intelligence - Preview above 👶
@jennhu.bsky.social
Research Fellow at Harvard Kempner Institute and incoming Asst Prof at Johns Hopkins interested in language, cognition, and AI. jennhu.github.io
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@conitzer.bsky.social
AI professor. Director, Foundations of Cooperative AI Lab at Carnegie Mellon. Head of Technical AI Engagement, Institute for Ethics in AI (Oxford). Author, "Moral AI - And How We Get There." https://www.cs.cmu.edu/~conitzer/
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@sharan-vaswani.bsky.social
Assistant Professor @SFU Computer Science Reinforcement Learning, Optimization
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@thegradient.bsky.social
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@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
@polynoamial.bsky.social
Researching reasoning at OpenAI | Co-created Libratus/Pluribus superhuman poker AIs, CICERO Diplomacy AI, and OpenAI o-series / 🍓
@axz.bsky.social
Professor of social computing at UW CSE, leading @socialfutureslab.bsky.social social.cs.washington.edu
@teorth.bsky.social
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/
@omarrivasplata.bsky.social
Carpe espresso ☕ Associate Professor in Machine Learning Manchester Centre for AI FUNdamentals Department of Computer Science The University of Manchester Alumn UCL, DeepMind, U Alberta, PUCP Deep Thinker. Posts / reposts might be non-deep.
@guykor.bsky.social
@raf-camo.bsky.social
Assistant Professor @ Politecnico di Torino, Istituto Italiano di Tecnologia, ELLIS Prev. ML Genoa Center & University of Genoa ML&Robotics 🐘 http://sigmoid.social/@raf_camo 🔗 www.linkedin.com/in/raffaellocamoriano I support a free & independent Ukraine
@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
@ballarin.cc
PhD student in (neuro-inspired) Deep Learning at the University of Trieste, Italy. Also: adversarially-robust/trustworthy/Bayesian DL, kernel methods, computational neuroscience. Quantitativist. Overenthusiastic tinkerer. https://ballarin.cc/
@thisismyhat.bsky.social
@ofirpress.bsky.social
I develop tough benchmarks for LMs and then I build agents to try and beat those benchmarks. Postdoc @ Princeton University. https://ofir.io/about
@norijacoby.bsky.social
Assistant professor at Cornell Psychology Department. CoCoCo Lab (Cornell Computational Cognition Lab) @co3lab.bsky.social. I am recruiting!
@xy-han.bsky.social
Assistant Professor @ChicagoBooth | Papers: “Neural Collapse in Deep Nets” & “Survey Descent: Nonsmooth GD” | BSE @Princeton, MS @Stanford, PhD @Cornell | xyhan.me
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@davidpakman.bsky.social
@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
@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
@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
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://beirami.github.io/
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com