Pan Xu @pan-xu.bsky.social Assistant Professor @DukeU | Previously @Caltech @UCLA | Machine Learning | Views are my own | he/him/his. 🌈
homepage: https://panxulab.github.io/
Eshaan Nichani @eshaannichani.bsky.social phd student @ princeton · deep learning theory
eshaannichani.com
Ziteng Sun @sziteng.bsky.social Responsible and efficient AI.
Topics: LLM efficiency; LLM alignment; Differential Privacy; Information Theory. Research Scientist @Google; PhD @Cornell
@akshaykr.bsky.social @akshaykr.bsky.social
Baharan Mirzasoleiman @baharanm.bsky.social Assistant Professor of CS at UCLA
Machine learning, Optimization, Data-efficient learning
Nathaniel Blalock @nathanielblalock.bsky.social Graduate Research Assistant in Dr. Philip Romero's Lab at Duke/Wisconsin Reinforcement and Deep Learning for Protein Redesign | He/him
Marco Mondelli @mmondelli.bsky.social Professor at IST Austria | Machine learning, information theory | Prev: Stanford, EPFL | opinions my own
Jonathan Scarlett @jmscarlett.bsky.social Associate Professor, National University of Singapore. Working in information theory, machine learning, and statistics.
Michael Kearns @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
Jacob Eisenstein @jacobeisenstein.bsky.social natural language processing and computational linguistics at google deepmind.
Andrea Panizza @andreapanizza.bsky.social ML, trekking, enjoying life
Stephan Mandt @stephanmandt.bsky.social AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Yuli Slavutsky @yulislavutsky.bsky.social Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
@eify.bsky.social @eify.bsky.social
Arnaud Doucet @arnauddoucet.bsky.social Senior Staff Research Scientist @Google DeepMind
https://arnauddoucet.github.io/
Alireza Mousavi @alirezamh.bsky.social PhD Student at the University of Toronto. Interested in deep learning theory.
https://www.cs.toronto.edu/~mousavi/
ErlendA @froskekongen.bsky.social AI researcher.
CTO at HANCE, Associate Professor at NTNU.
Compression, generative, audio, time series
Akshay Rangamani @akshayrangamani.bsky.social Ass Prof @ NJIT; How do neural nets do what they do?- L Lexing Ying @lexingying.bsky.social Mathematician at Stanford
Terence Tao @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/
Haque Ishfaq @hmishfaq.bsky.social PhD student at @mcgillu/ @MILAMontreal. Bandits and Reinforcement Learning. BS, MS @Stanford 🇧🇩🇺🇸🇨🇦 I am on the job market!
https://hmishfaq.github.io/
Csaba Szepesvari @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
Sofiane Tanji @sofianetanji.com I study Mathematical Optimization @UCLouvain
Samuel Vaiter @samuelvaiter.com CNRS Researcher
website: https://samuelvaiter.com
Mathieu Dagréou @matdag.bsky.social Postdoc at Inria working on optimization and machine learning.
Website: https://matdag.github.io/
Moritz Haas @mohaas.bsky.social IMPRS-IS PhD student @ University of Tübingen with Ulrike von Luxburg and Bedartha Goswami. Mostly thinking about deep learning theory. Also interested in ML for climate science.
mohawastaken.github.io
Fabian Schaipp @fschaipp.bsky.social Researcher in Optimization for ML at Inria Paris. Previously at TU Munich.
https://fabian-sp.github.io/
Weijie Su @wjsu.bsky.social Associate Professor at University of Pennsylvania
Riccardo Zamboni @ricczamboni.bsky.social Research Scientist @ Huawei | Reinforcement Learning |
I do stuff, I see stuff. Some with purpose, most by chance.
https://ricczamboni.github.io
Mufan Li @mufan-li.bsky.social Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci
https://mufan-li.github.io/
Becca Willett @beccawillett.bsky.social https://willett.psd.uchicago.edu/
Worah Family Professor, University of Chicago
National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/)
Institute for AI in the Sky (SkAI, https://skai-institute.org/)
Me AI @me-ai.bsky.social Building artificial brains
Kevin Jamieson @kjamieson.bsky.social faculty at UW CSE studying experimental design and reinforcement learning
Erfan Mirzaei @erfunmirzaei.bsky.social Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova.
Interested in (deep) learning theory and others.
https://erfunmirzaei.github.io/
Daniel Rock @danielrock.bsky.social Assistant Professor at UPenn/Wharton OID researching economics of AI and productivity. Fan of dogs.
Alex Imas @aleximas.bsky.social Economics + Applied AI, Prof at University of Chicago Booth School of Business. Formerly: Carnegie Mellon, UCSD, Northwestern.
Website: www.aleximas.com
Luca Soldaini 🎀 @soldaini.net I like tokens! Leading the Olmo data team at @ai2.bsky.social with @kylelo.bsky.social // all opinions sampled from my own stochastic parrot
more at https://soldaini.net
Mathieu Alain @miniapeur.bsky.social Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
Ehsan Adeli @eadeli.bsky.social Assistant Prof at Stanford, Director of Stanford Translational AI (STAI) Lab
Computer Vision, Computational Neuroscience
@aishwarya2.bsky.social @aishwarya2.bsky.social phd student at stanford ai lab, working on reinforcement learning for healthcare. 🐶 and 🏃🏽♀️ enthusiast
Ernest Ryu @ernestryu.bsky.social Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
Leena C Vankadara @leenacvankadara.bsky.social Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen
Carl Allen @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?👌…)
Gonzalo de Polavieja @polavieja.bsky.social Scientist at Champalimaud Foundation (polaviejalab.org) and co-founder of Algebraic AI (algebraic.ai). #Maths4AI #AI4Science, #BehaviorAI #NeuroAI #CognitionAI #CollectiveBehavior
Suriya Gunasekar @suriyag.bsky.social
Chenyu You @chenyuyou.bsky.social Assistant Professor @ Stony Brook AMS & CS
https://chenyuyou.me/
Evan Walters @evanatyourservice.bsky.social ML/RL enthusiast, second-order optimization, plasticity, environmentalist
Omead Pooladzandi ✈️ NeurIPS'24 @hessianfree.bsky.social Optimization Generative Modeling @Caltech, PhD @UCLA. ex Research Scientist Intern @AIatMeta (opinions are my own) why is jax so difficult
Zhipeng Huang @nopainkiller.bsky.social Open Source Accelerates Everything
Neal Parikh @nparikh.org https://nparikh.org
Henry Gouk @handle.invalid Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI.
henrygouk.com
Aldo Pacchiano @aldopacchiano.bsky.social AI research at Broad Institute and Boston University.
Reinforcement Learning / Bandits / Experiment Design
Mexicano 🇲🇽
RL Theory Virtual Seminars @rl-theory.bsky.social Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC.
> https://sites.google.com/corp/view/rltheoryseminars
Audrey Huang @ahahaudrey.bsky.social https://audhuang.github.io/
Andrew Saxe @saxelab.bsky.social Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
Nneka @nnekaokolo4.bsky.social RL Researcher | Postdoctoral Associate @mitidss
Interested in RL theory, stochastic optimisation and online learning.
https://muchay.github.io/
Florent Delgrange @florentdelgrange.bsky.social Reinforcement Learner
delgrange.me
Ioannis Kontoyiannis @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]
B. Aditya Prakash @badityap.bsky.social Prof, GeorgiaTech | Director, AdityaLab | AI + X. X = public health, urban systems, networks, time-series | 💙 data. cc.gatech.edu/~badityap
Onno Eberhard @onnoeberhard.com PhD Student in Tübingen (MPI-IS & Uni Tü), interested in reinforcement learning. Wir müssen wissen. Wir werden wissen. https://onnoeberhard.com/
Yoav Goldberg @yoavgo.bsky.social
@aminkarbasi.bsky.social @aminkarbasi.bsky.social Chief scientist at Robust Intelligence and professor at Yale (on leave)
Neil Lawrence @lawrennd.bsky.social Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Furong Huang @furongh.bsky.social Associate professor of @umdcs @umiacs @ml_umd at UMD. Researcher in #AI/#ML, AI #Alignment, #RLHF, #Trustworthy ML, #EthicalAI, AI #Democratization, AI for ALL.
Jenn Wortman Vaughan @jennwv.bsky.social Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
Alex Lu @alexijie.bsky.social Senior Researcher at Microsoft Research New England. ML/AI for biological discovery: microscopy, proteins, single-cell.
Miro Dudik @mdudik.bsky.social Sr Principal Research Manager, Microsoft Research NYC. ICML 2026 PC. Machine Learning, AI Fairness.
Thiago Serra @thserra.bsky.social Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two
Su-In Lee @suinlee.bsky.social Boeing Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
Md Rifat Arefin @rarefin.bsky.social PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Daniel Csillag @dccsillag.xyz Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp.
dccsillag.xyz
Pierre Marion @pierremarion.bsky.social Research Faculty at Inria, working on the theory of deep learning and AI for maths. NeurIPS 2026 Satellite Chair for Paris. Previously Polytechnique, Sorbonne Université, EPFL.
tongzhou wang @tongzhou.bsky.social ai. ex ml phd@mit, pytorch@fair, ai&cv@berkeley
Glen Berseth @glenberseth.bsky.social Associate Prof at @umontreal-en.bsky.social @mila-quebec.bsky.social @MontrealRobots
. CIFAR AI Chair, @RL_Conference chair. Creating generalist problem-solving agents for the real world. He/him/il.
Tom Silver @tomssilver.bsky.social Assistant Professor @Princeton. Developing robots that plan and learn to help people.
https://tomsilver.github.io/
Sarath Chandar @sarath-chandar.bsky.social Associate Professor at Polytechnique Montreal and Mila.
Karl Rohe @karlrohe.bsky.social NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
Giorgia Ramponi @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
Hao Zhu 朱昊 @zhuhao.me AI researcher. Postdocing at Stanford NLP. Prev: PhD CMU LTI.
Visit https://zhuhao.me
Raising agents in the Opensocial.world
Marc Marone @marcmarone.com PhD student at JHU. @Databricks MosaicML, Microsoft Semantic Machines/Translate, Georgia Tech. I like datasets!
https://marcmarone.com/
Kate Sanders @kesnet50.bsky.social Researcher at Microsoft Copilot Tuning. Cal alum, Ph.D. @ JHU CLSP. #NLProc
https://katesanders9.github.io/
Carlos Aguirre @carlosaguirre.bsky.social Applied Scientist @ Amazon
(Posts are my own opinion)
Previously PhD@JHU
Orion Weller @orionweller.bsky.social PhD Student at Johns Hopkins University. Previously: Allen Institute for AI, Apple, Samaya AI. Research for #NLProc #IR
Yu Lu Liu @liuyulu.bsky.social PhD student at Johns Hopkins University
Alumni from McGill University & MILA
Working on NLP Evaluation, Responsible AI, Human-AI interaction
she/her 🇨🇦
Krithika Ramesh @stolenpyjak.bsky.social (she/her)
¯\_(ツ)_/¯
PhD student @jhuclsp
Henry Li Xinyuan @hstehste.bsky.social PhD student @JHU CLSP
hstehstehste.github.io
Alexander Martin @alexmartin314.bsky.social PhD student at JHU; NSF GRF; BS in CS UofR
alexmartin1722.github.io
Neha Verma @nverma1.bsky.social PhD student @jhuclsp. Previously @yale, intern @AIatMeta | Efficient models, merging, MT
Rachel Wicks @rewicks.bsky.social PhD student @jhuclsp
I work on multilingual data for training and evaluation.
rewicks.github.io
David Mueller @david-mueller.bsky.social PhD Candidate @ JHU CLSP
Machine Learning and NLP Research
www.damueller.com
I study transfer and multi-task learning.
Incoming applied scientist at Amazon; prev at Netflix
William Jurayj @williamjurayj.bsky.social PhD student at Johns Hopkins CLSP (@jhuclsp.bsky.social).
Researching natural and formal language processing.
williamjurayj.com
Aleem Khan @akhan62.bsky.social PhD student at JHU
https://aleemkhan62.github.io
Aaron Gokaslan @skylion.bsky.social Maker of the OpenWebText. Mozilla Rise25 @PyTorch Core Reviewer. PhD Candidate at @Cornell (interning at @MosaicML) Previously @FacebookAI and @BrownUniversity
Lucy Li @lucy3.bsky.social assistant prof at Wisconsin CS. #NLProc, computational social science, cultural analytics, responsible AI. she/her. Previously at UW, Berkeley, Ai2, MSR, Stanford. lucy3.github.io
Amanda Bertsch @abertsch.bsky.social PhD student @ CMU LTI. working on text generation + long context
https://www.cs.cmu.edu/~abertsch/
Athiya Deviyani @athiya.bsky.social LTI PhD at CMU on evaluation and trustworthy ML/NLP, prev AI&CS Edinburgh University, Google, YouTube, Apple, Netflix. Views are personal 👩🏻💻🇮🇩
athiyadeviyani.github.io