@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
@agg-gia.bsky.social
@cemanil.bsky.social
Research scientist at Anthropic. PhD in machine learning from the University of Toronto and Vector Institute. Prev: NVIDIA, Google
@sashamtl.bsky.social
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
@krizna.bsky.social
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis #machinelearning #deeplearning #probability #statistics #optimization #sampling
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@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
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@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 🚲🏔️🥾🏊♂️
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@thegradient.bsky.social
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@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://www.mit.edu/~beirami/
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@jsellenberg.bsky.social
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
@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
@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
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@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
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@jifan-zhang.bsky.social
Ph.D. @WisconsinCS @WIDiscovery | Previously BS/MS @uwcse, @Meta @Google Research: AI for Creativity, Active Learning, Data Efficient Learning (jifanz.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 👶
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@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.
@ernestryu.bsky.social
Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
@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
@jshenouda.bsky.social
@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/)
@kjamieson.bsky.social
faculty at UW CSE studying experimental design and reinforcement learning