Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU. Founding research scientist at Percepta.
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
Quanquan Gu @quanquangu.bsky.social Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
Jascha Sohl-Dickstein @jascha.sohldickstein.com Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Maxim Raginsky @mraginsky.bsky.social web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Dan Roy @roydanroy.bsky.social Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Ben Recht @beenwrekt.bsky.social Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
The Irrational Decision: How We Gave Computers the Power to Choose for Us. (Princeton) https://press.princeton.edu/books/hardcover/9780691272443/the-irrational-decision
Zachary Lipton @zacharylipton.bsky.social Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Surya Ganguli @suryaganguli.bsky.social Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Yisong Yue @yisongyue.bsky.social AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
Jonathan Frankle @jfrankle.com Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
Ahmad Beirami @abeirami.bsky.social stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
@kyunghyuncho.bsky.social @kyunghyuncho.bsky.social a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Zico Kolter @zicokolter.bsky.social Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
Dimitris Papailiopoulos @dimitrisp.bsky.social Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Sanjeev Arora @profsanjeevarora.bsky.social Director, Princeton Language and Intelligence. Professor of CS.
Preetum Nakkiran @preetumnakkiran.bsky.social ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Hossein Mobahi @thegradient.bsky.social Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Sebastien Bubeck @sbubeck.bsky.social I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Andrej Risteski @andrejristeski.bsky.social Machine learning researcher. Professor in ML department at CMU. 
Alex Dimakis @alexdimakis.bsky.social UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
Mahdi Soltanolkotabi @mahdisoltan.bsky.social work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
Surbhi Goel @surbhigoel.bsky.social Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
Yasaman Bahri @yasamanbb.bsky.social Research Scientist @ Google DeepMind. AI + physics. Prev Ph.D. @ UC Berkeley.
https://sites.google.com/view/yasamanbahri/home/
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Volkan Cevher @cevherlions.bsky.social Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@simon-du.bsky.social @simon-du.bsky.social 
Lénaïc Chizat @lenaicchizat.bsky.social Researcher in computational mathematics
Theory of deep learning, optimal transport, optimization
NUS
Martin Jaggi @mjaggi.bsky.social Prof at EPFL
AI • Climbing
Robert Nowak @rdnowak.bsky.social Director of the Center for the Advancement of Progress
Murat A. Erdogdu @erdog.bsky.social Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Samet Oymak @oymak.bsky.social EECS Prof @UMich, Research on the Foundations of ML+RL+LLM
https://sota.engin.umich.edu/
Vaishnavh Nagarajan @vaishnavh.bsky.social Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io
Ananya Kumar @ananyak.bsky.social Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
Eran Malach @emalach.bsky.social Research Fellow @ Kempner Institute, Harvard University
Theory of Deep Learning / Learning of Deep Theory
Gintare Karolina Dziugaite @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 
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.
Daniel Csillag @dccsillag.xyz Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp.
dccsillag.xyz
Peter Richtarik @richtarik.bsky.social Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
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
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
Andrew Saxe @saxelab.bsky.social Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
Henry Gouk @handle.invalid Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI.
henrygouk.com
Atlas Wang @atlaswang.bsky.social https://www.vita-group.space/ 👨🏫 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 👶
Krishna Balasubramanian @krizna.bsky.social https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis
#machinelearning #deeplearning #probability #statistics #optimization #sampling 
Benedikt Kolbeinsson @benedikt.phd Researcher | PhD in ML/CV from Imperial
benedikt.phd
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
Evan Walters @evanatyourservice.bsky.social ML/RL enthusiast, second-order optimization, plasticity, environmentalist
Chenyu You @chenyuyou.bsky.social Assistant Professor @ Stony Brook AMS & CS
https://chenyuyou.me/
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
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?👌…)
Leena C Vankadara @leenacvankadara.bsky.social Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen
Aurelien Lucchi @alucchi.bsky.social Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭
Ernest Ryu @ernestryu.bsky.social Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
Sham Kakade @shamkakade.bsky.social Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Ehsan Adeli @eadeli.bsky.social Assistant Prof at Stanford, Director of Stanford Translational AI (STAI) Lab
Computer Vision, Computational Neuroscience
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
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/
Me AI @me-ai.bsky.social Building artificial brains- L Laurence Aitchison @laurenceai.bsky.social Lecturer at the University of Bristol.
probabilistic ML, optimisation, interpretability, LLM evals.
Anirbit @anirbit.bsky.social Assistant Professor/Lecturer in ML @ The University of Manchester | https://anirbit-ai.github.io/ | working on the theory of neural nets and how they solve differential equations. #AI4SCIENCE
Mufan Li @mufan-li.bsky.social Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci
https://mufan-li.github.io/
Weijie Su @wjsu.bsky.social Associate Professor at University of Pennsylvania
Alex Damian @adamian.bsky.social 
CSML IIT Lab @pontilgroup.bsky.social Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
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
Akshay Rangamani @akshayrangamani.bsky.social Ass Prof @ NJIT; How do neural nets do what they do?
ErlendA @froskekongen.bsky.social AI researcher.
CTO at HANCE, Associate Professor at NTNU.
Compression, generative, audio, time series
Alireza Mousavi @alirezamh.bsky.social PhD Student at the University of Toronto. Interested in deep learning theory.
https://www.cs.toronto.edu/~mousavi/
Eshaan Nichani @eshaannichani.bsky.social phd student @ princeton · deep learning theory
eshaannichani.com
@sewoong79.bsky.social @sewoong79.bsky.social 
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/
Luke Zettlemoyer @lukezettlemoyer.bsky.social Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
Jonathan Hayase @jon.jon.ke 5th year PhD student at UW CSE, working on Security and Privacy for ML
Xinyi Zhou @xinyizhouxz.bsky.social PostDoc @uwcse.bsky.social; ✨ Trustworthy, multimodal, human-centered AI; 🌐 https://xinyizhou.xyz/
Jerry Li @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 😎
Jason Lee @jasondeanlee.bsky.social Associate Professor at Princeton
Machine Learning Researcher
Allen School @uwcse.bsky.social The Paul G. Allen School of Computer Science & Engineering at the University of Washington educates tomorrow's innovators while developing solutions to humanity's greatest challenges.- B NeurIPS Blog – NeurIPS conference blog [Unofficial] @blog.neurips.cc.web.brid.gy 🌉 bridged from 🌐 https://blog.neurips.cc/: https://fed.brid.gy/web/blog.neurips.cc
ICLR Conference @iclr-conf.bsky.social International Conference on Learning Representations https://iclr.cc/
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Alexander Terenin @avt.im Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Ryan Williams @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)
Thomas Steinke @stein.ke Researcher in computer science, math, machine learning, (differential) privacy, AI, etc. at Anthropic.
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Thatchaphol Saranurak @eigx.bsky.social Assistant Professor at the University of Michigan.
I design fast graph algorithms in dynamic/distributed/local settings.
https://sites.google.com/site/thsaranurak/
David Pfau @davidpfau.com So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Aaron Roth @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
Gautam Kamath @gautamkamath.com Assistant Prof of CS at NYU Courant. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Clément Canonne @ccanonne.github.io Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Andrea Montanari @andrea-montanari.bsky.social Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Bluesky @bsky.app official Bluesky account (check username👆)
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