Kosta Derpanis @csprofkgd.bsky.social #CS Associate Prof York University, #ComputerVision Researcher, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member
📍Toronto 🇨🇦 🔗 csprofkgd.github.io
🗓️ Joined Nov 2024
Hilde Kuehne @hildekuehne.bsky.social Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
Huck Bennett @huckbennett.bsky.social Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music.
https://home.cs.colorado.edu/~hbennett/
Michael Nielsen @michaelnielsen.bsky.social Searching for the numinous
Australian Canadian, currently living in the US
https://michaelnotebook.com
Gary Marcus @garymarcus.bsky.social AI and cognitive science, Founder and CEO (Geometric Intelligence, acquired by Uber). 8 books including Guitar Zero, Rebooting AI and Taming Silicon Valley.
Newsletter (100k subscribers): garymarcus.substack.com
Grace Lindsay @neurograce.bsky.social Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
Inkeri Koskinen @inkerikoskinen.bsky.social A philosopher of science, among other things.
University of Helsinki
https://www.inkerikoskinen.net
Jeff Dean @jeffdean.bsky.social Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Preetum Nakkiran @preetumnakkiran.bsky.social ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Andrej Risteski @andrejristeski.bsky.social Machine learning researcher. Professor in ML department at CMU. 
Hossein Mobahi @thegradient.bsky.social Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
Ben Rubinstein @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.
Quanquan Gu @quanquangu.bsky.social Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
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 
Nezihe Merve Gürel @nmervegurel.bsky.social Assistant Professor in Computer Science
Research in ML robustness, reliability and reasoning
PhD from ETH Zurich🇨🇭
Executive Editor of DMLR Journal
Organizing Committee NeurIPS and ICLR
Murat A. Erdogdu @erdog.bsky.social Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Jeffrey P. Bigham @jeffreybigham.com Professor of HCII and LTI at Carnegie Mellon School of Computer Science.
jeffreybigham.com
Blake Richards @tyrellturing.bsky.social Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
Michael Hoffman @michaelhoffman.bsky.social Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Christopher Manning @chrmanning.bsky.social Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
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.
Jes Frellsen @jesfrellsen.bsky.social Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Michael Oberst @moberst.bsky.social Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
Andy Aitken @andy-aitken.bsky.social Computer vision/AI at anam.ai
Lisa Koch @lisakoch.bsky.social Assistant professor at the University of Bern, Switzerland. Head of the Machine learning in Medicine Lab (www.mlm-lab.ch), special focus on trustworthy AI and data science in diabetes care.
Dino Sejdinovic @sejdino.bsky.social Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
David Duvenaud @davidduvenaud.bsky.social Machine learning prof at U Toronto. Working on evals and AGI governance.
Miri Zilka @mirizilka.bsky.social Senior Research Associate & Leverhulme Trust Fellow in Machine Learning at CambridgeMLG. CRA at King's College Cambridge and Associate Fellow a lCFI.
https://sites.google.com/view/miri-zilka/home
.
Antoine Moulin @antoine-mln.bsky.social doing a phd in RL/online learning on questions related to exploration and adaptivity
> https://antoine-moulin.github.io/
Gilles Louppe @glouppe.bsky.social AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
Uri Shalit @urish.bsky.social Machine learning researcher, working on causal inference and healthcare applications
Anna Rogers @annarogers.bsky.social Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
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.
Michael Bronstein @mmbronstein.bsky.social DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @ProximaBio
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
David Pfau @davidpfau.com So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Naomi Saphra @nsaphra.bsky.social Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
Konrad Kording @kordinglab.bsky.social @Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
Melanie Mitchell @melaniemitchell.bsky.social Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
Gaël Varoquaux @gaelvaroquaux.bsky.social Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
Desi R Ivanova @desirivanova.bsky.social Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Mihai Nica @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
Andrei Bursuc @abursuc.bsky.social Research Scientist at valeo.ai | Teaching at Polytechnique, ENS | Alumni at Mines Paris, Inria, ENS | AI for Autonomous Driving, Computer Vision, Machine Learning | Robotics amateur
⚲ Paris, France 🔗 abursuc.github.io
Dileep George @dileeplearning @dileeplearning.bsky.social AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
Jason Lee @jasondeanlee.bsky.social Associate Professor at Princeton
Machine Learning Researcher
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
Yisong Yue @yisongyue.bsky.social AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
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
Yasaman Bahri @yasamanbb.bsky.social Research Scientist @ Google DeepMind. AI + physics. Prev Ph.D. @ UC Berkeley.
https://sites.google.com/view/yasamanbahri/home/
Dimitris Papailiopoulos @dimitrisp.bsky.social Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Dylan Foster 🐢 @djfoster.bsky.social Incoming Assistant Professor in EECS and Statistics at UC Berkeley.
Principal Researcher @ Microsoft Research NE/NYC. Previously @ MIT, Cornell.
AI + RL Foundations. RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
http://dylanfoster.net
Sebastien Bubeck @sbubeck.bsky.social I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
@aminkarbasi.bsky.social @aminkarbasi.bsky.social Chief scientist at Robust Intelligence and professor at Yale (on leave)
Huizhuo Yuan @angelahzyuan.bsky.social Research Scientist at ByteDance. Ex @UCLA, @PKU
AI4Science, Diffusion Models, Optimizers, RL, LLM
Sham Kakade @shamkakade.bsky.social Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
kwang @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.
Yinglun Zhu @yinglunzhu.bsky.social Assistant Prof @ UC Riverside. Research on Efficient ML, RL, and LLMs. CS PhD @ UW Madison.
yinglunz.com
Steven Wu @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., imitation/reinforcement learning).
https://zstevenwu.com/
Gergely Neu @neu-rips.bsky.social full-time ML theory nerd, part-time AI-non enthusiast
angela zhou @angelamczhou.bsky.social assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.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
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
Peter Richtarik @richtarik.bsky.social Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
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.
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.
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
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Surbhi Goel @surbhigoel.bsky.social Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
Andrea Montanari @andrea-montanari.bsky.social Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Sanjeev Arora @profsanjeevarora.bsky.social Director, Princeton Language and Intelligence. Professor of CS.
@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/
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/
Luca Ambrogioni @lucamb.bsky.social Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
Peyman Milanfar @docmilanfar.bsky.social Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time.
http://milanfar.org
David Picard @davidpicard.eurosky.social Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views
📍Paris 🔗 https://davidpicard.github.io/
CompVis - Computer Vision and Learning LMU Munich @compvis.bsky.social Computer Vision and Learning research group @ LMU Munich, headed by Björn Ommer.
Generative Vision (Stable Diffusion, VQGAN) & Representation Learning
🌐 https://ommer-lab.com
Conor Durkan @conormdurkan.bsky.social Generative modeling person
https://conordurkan.com
Durk Kingma @dpkingma.bsky.social Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
Grigory Bartosh @gbarto.bsky.social PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning.
grigorybartosh.github.io
Marvin Schmitt @marvin-schmitt.com ⛵️ Research Scientist @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Danilo J. Rezende @danilojrezende.bsky.social VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine.
Opinions my own.
https://danilorezende.com/
Jakub M. Tomczak @jmtomczak.bsky.social Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Iain Murray @imurray.bsky.social Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@jacobaustin123.bsky.social @jacobaustin123.bsky.social Researcher at Google DeepMind. I make LLMs go fast. I also play piano and climb sometimes. Opinions my own
N. Thuerey's research group at TUM @thuereygroup.bsky.social Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics- M Machel Reid @machelreid.bsky.social
Jon Barron @jonbarron.bsky.social Principal research scientist at Google DeepMind. Synthesized views are my own.
📍SF Bay Area 🔗 http://jonbarron.info
This feed is a mostly-incomplete mirror of https://x.com/jon_barron, I recommend you just follow me there.
David Güera @dguera.bsky.social Generative AI @ Apple
Phillip Isola @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/- J Joost van Amersfoort @joost.bsky.social
Mark van der Wilk @mvdw.bsky.social Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
Yarin @yaringal.bsky.social Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Magnus Rattray @mrattray.bsky.social Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social
Antti Honkela @ahonkela.bsky.social Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
Philipp Hennig @philipphennig.bsky.social Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social Full prof at @uni-saarland.de & part of @amlab.bsky.social at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
Mostafa Varzaneh @the-joker.bsky.social GenAI & ML @Meta | ex IBM
Opinions are my own
Kamilė Stankevičiūtė @kamile.st Machine Learning PhD student at Cambridge University, visiting Cornell. Previously at Oxford and Google. Principled ML & applications in medicine.