Researcher at Criteo. Interested in Bandits, Privacy, Competitive Analysis, Reinforcement Learning.
https://hugorichard.github.io/
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@institutmathorsay.bsky.social
Situé près de l'Yvette, ce nouveau bâtiment permet de regrouper ses activités de recherche et d'enseignement dans un lieu unique. Une communauté pour transmettre notre passion, les maths; partager nos savoirs et dépasser les frontières de nos connaissances
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@rasmuspagh.net
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
@jubaz.bsky.social
Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly. Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec. He/him.
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
@melisilaydabal.bsky.social
PhD student @Max Planck Institute for Intelligent Systems | working on optimization & game-theoretic frameworks for robust and efficient ML | organizer @twiml.bsky.social | https://melisilaydabal.github.io
@stvrb.bsky.social
PhD candidate @UofT @VectorInst. Reliable, safe, trustworthy machine learning.
@danfoa.bsky.social
ELLIS Ph.D. student focusing on the intersection of ML and control of legged systems with symmetries at @iitDLSLab, #RoMi, and @pontilgroup #SomosUNAL
@pienovelli.bsky.social
Physicist, working on machine learning for dynamical systems | reinforcement learning | machine learning for science | transfer learning for atomistic potentials | statistical learning theory & optimization.
@marcopra.bsky.social
@ellis.eu PhD student at @pontilgroup.bsky.social and @uclofficial.bsky.social | Reinforcement Learning and Generalization
@matiabojovic.bsky.social
PhD Student at @pontilGroup.bsky.social Working on Convex Optimization and ML
@nkgarg.bsky.social
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
@moshebab.bsky.social
Assoc. Prof. of CS at the Hebrew University. Algorithmic Game Theory. Economics and Computation. https://sites.google.com/view/babaioff/about-me
@anastoica.bsky.social
Research Group Lead @ Max Planck Institute for Intelligent Systems, Tübingen. Into social networks, game theory, and casually causal inference.
@vsergei.bsky.social
Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/
@zavyalov.bsky.social
PhD Student in Computer Science @ Boston University, Previously Math @ UToronto. Interested in Differential Privacy. firetto.github.io
@szhoucs.bsky.social
CS Assistant Professor at Texas A&M University. Sublinear algorithms, machine learning, TCS. Typical academic seeking knowledge, purpose, and free food. He/him. https://samsonzhou.github.io
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@thomasahle.bsky.social
Head of AI @ NormalComputing. Tweets on Math, AI, Chess, Probability, ML, Algorithms and Randomness. Author of tensorcookbook.com
@aeporreca.org
Maître de conférences (lecturer) at Aix-Marseille Université & researcher at https://lis-lab.fr 🇫🇷 • Natural computing, discrete dynamical systems & complexity • I like (human) languages • This is a pandemic, y’all 😷 • aeporreca.org
@wtgowers.bsky.social
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
@stevenstrogatz.com
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
@gabey.zip
phd student @UChicagoCS. interested in cryptography, algorithms, combinatorics. gabey.zip
@steifer.pl
mathematics, theoretical computer science, philosophy @ Universidad Católica de Chile & Polish Academy of Sciences | 'The evolution of sense is, in a sense, the evolution of nonsense.'
@cnmusco.bsky.social
CS Professor at UMass Amherst. Theoretical computer science, numerical linear algebra, machine learning.
@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).
@rldmdublin2025.bsky.social
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making. 11-14 June 2025. Trinity College Dublin. https://rldm.org/
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@nicoloc.bsky.social
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@ergodicwalk.bsky.social
Randomly transitioning between information theory, ML, privacy, statistics, and other destinations. Not using \mathbb in a logo.
@kwangsungjun.bsky.social
kwang-sung jun. assistant professor at the u of arizona. ml, online learning, and bandits! i am a fan of regret minimalism, both in life and research.
@abhisheknaik96.bsky.social
PhD graduate in reinforcement learning from the University of Alberta. Now, RL research in space! 🚀🛰️
@khurramjaved.com
Working on scalable and decentralized algorithms for real-time reinforcement learning. Research scientist @ Keen AGI Prev - PhD with Richard S. Sutton
@esraasaleh.bsky.social
Research in AI / ML / RL @Mila_Quebec / @UMontreal, formerly research @Ualberta, @AmiiThinks, @rlai_lab
@almostsure.bsky.social
George Lowther. Author of Almost Sure blog on maths, probability and stochastic calculus https://almostsuremath.com Also on YouTube: https://www.youtube.com/@almostsure
@laurentlessard.bsky.social
Associate Professor of MIE @Northeastern. Interested in control theory, optimization, math, and puzzles. The glass is twice as large as it needs to be.
@richard-sutton.bsky.social
@jerryzli.bsky.social
Associate Professor at UW. I work on learning theory, (very) broadly defined. MIT Ph.D '18. More importantly, I once hit challenger in TFT 😎
@timroughgarden.bsky.social
Columbia CS professor. Head of Research at a16z crypto. Research on algorithms, game theory, mechanism design, blockchains/web3. Author of Algorithms Illuminated, Twenty Lectures on Algorithmic Game Theory, and Beyond the Worst-Case Analysis of Algorithms.
@necozay.bsky.social
Professor of EECS and Robotics at University of Michigan. Control theory, hybrid & cyber-physical systems, sys id, algorithms, safe autonomy. More info @ http://web.eecs.umich.edu/~necmiye/