@mouseguard.bsky.social
Eisner Award winning creator of Mouse Guard. Covers for TMNT, Dark Crystal, Usagi Yojimbo, and Cards for MtG Bloomburrow. MouseGuard.bigcartel.com
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@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/
@quanquangu.bsky.social
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
@erfunmirzaei.bsky.social
Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova. Interested in (deep) learning theory and others.
@mihainica.bsky.social
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
@cyroid.bsky.social
Researcher at Google. Improving LLM factuality, RAG and multimodal alignment and evaluation. San Diego. he/him ☀️🌱🧗🏻🏐 Prev UCSD, MSR, UW, UIUC.
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.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
@janexwang.bsky.social
Staff research scientist at Google DeepMind. AI and neuro. Former physicist, current human. Find more at www.janexwang.com
@rajammanabrolu.bsky.social
AI, RL, NLP, Games Asst Prof at UCSD Research Scientist at Mosaic Databricks Lab: http://pearls.ucsd.edu Personal: prithvirajva.com
@gershbrain.bsky.social
Professor, Department of Psychology and Center for Brain Science, Harvard University https://gershmanlab.com/
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.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
@peterhenderson.bsky.social
Assistant Professor leading the AI, Law, & Society Lab @ Princeton 📚JD/PhD @ Stanford
@miguelvasco.bsky.social
Postdoc at @kthuniversity.bsky.social. Past: @gaipslab.bsky.social; Sony AI. Interested in all things RL and Multimodal. miguelvasco.com
@lnalegre.bsky.social
I hold a Ph.D. in Computer Science from @ufrgs.br. I am interested in multi-policy reinforcement learning (RL) algorithms. Personal page: https://lucasalegre.github.io
@dhadfieldmenell.bsky.social
Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL. I work on value (mis)alignment in AI systems. https://people.csail.mit.edu/dhm/
@lauraabusta.bsky.social
👩🏻🔬 Looking for positions in Europe! 💫 Postdoc @WashU, Neuroscience PhD @Princeton, researching cognitive control & decision making, #neurodivergent in computational psychiatry, she/her. Views my own. Stand Up for inclusive, accessible Science for everyone!
@saiprasanna.in
See(k)ing the surreal Reinforcement learning + Robot learning (🤖 = 42) @ University of Freiburg 🇩🇪 Applying to PhDs 2025 #reinforcementlearning #robotics #causality #meditation #vegan
@kifarid.bsky.social
PhD. Student @ELLIS.eu @UniFreiburg with Thomas Brox and Cordelia Schmid Understanding intelligence and cultivating its societal benefits https://kifarid.github.io
@gsprd.be
PhD Student doing RL in POMDP at the University of Liège - Intern at McGill - gsprd.be
@mvandepanne.bsky.social
UBC Computer Science; physics-based models of human movement; deep reinforcement learning; animation; robotics
@mikebjohanson.bsky.social
Rogue game theorist and RL scientist in 🇨🇦. Formerly: co-founder Artificial.Agency, RS DeepMind, PhD UAlberta, Poker AI. Gaming 🎮🎲, curling 🥌, knitting 🧶, geocaching 🗺️. (he/him).
@cvoelcker.bsky.social
Reinforcement Learning @ UofT/Vector Institute, political agitation @ Queer in AI If I seem very angry, check if I have been watered in the last 24 hours. For professional, see https://cvoelcker.de
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@paulmasset.bsky.social
Assistant Professor, McGill University | Affiliate Member, Mila - Quebec AI Institute | Neuroscience and AI, learning and inference, dopamine and cognition https://www.mcgill.ca/psychology/paul-masset
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/