Andrej Risteski
Machine learning researcher. Professor in ML department at CMU.
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@katherinejwu.com
staff writer at The Atlantic, covering science. former microbiologist / forever cat enthusiast. (she/her) SIGNAL: @katherinejwu.12
@cathywu.bsky.social
AI+Transportation. Creating computational tools for engineers to reimagine systems for society. Neural combinatorial optimization. Reinforcement learning. Associate Prof. at MIT. Hype adjacent. http://www.wucathy.com/
@sarahjeong.bsky.social
editor @ the verge. send pitches and death threats to sarah.jeong@theverge.com
@naturecomputes.bsky.social
Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
@ucphilosophy.bsky.social
UC Philosophy is a PhD-granting department with strengths in philosophy of biology, language/mind/cognitive science, and aesthetics.
@science.org
The world's leading outlet for cutting-edge research in all areas of science. https://www.science.org
@pnas.org
Explore groundbreaking news and research from PNAS, one of the world's most-cited scientific journals. Discover its sibling journal, @pnasnexus.org, both official journals of the National Academy of Sciences. Visit www.pnas.org for more info.
@cpehlevan.bsky.social
theory of neural networks for natural and artificial intelligence https://pehlevan.seas.harvard.edu/
@chengela.bsky.social
Reporter/editor, currently at Vox, and author of Ace. Interested in policy, philosophy, and science. I one-box in Newcomb’s paradox. angelachen.org
@anilseth.bsky.social
Neuroscientist: consciousness, perception, and Dreamachines. Author of Being You - A New Science of Consciousness.
@mattstrassler.bsky.social
Theoretical physicist (particle physics, string theory, black holes), semi-retired professor, writer (author of the popular science book "Waves in an Impossible Sea"), amateur musician, and activist for founding public policy on facts and logic
@simondedeo.bsky.social
Cognitive scientist at Carnegie Mellon University and External Faculty at the Santa Fe Institute. http://santafe.edu/~simon
@parskatt.bsky.social
PhD student @ Linköping University I like 3D vision and training neural networks. Code: https://github.com/parskatt Weights: https://github.com/Parskatt/storage/releases/tag/roma
@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.
@alroth.bsky.social
Stanford economist. I have a market design blog: https://marketdesigner.blogspot.com/ Lately I’m interested in #controversial markets
@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
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@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/
@derek--beaton.bsky.social
Director, Advanced Analytics at Unity Health Toronto. So early to Blue Sky they don't even allow underscores. I like beer, data, and multivariate blah-blahs. 2x Guinness world record holder in nonsense (5 person half and full marathon)
@loubnabnl.hf.co
SmolLMs & Data @huggingface Training SmolLMs and curating high quality web and synthetic datasets ✨ https://loubnabnl.github.io/
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@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.
@gabrielpeyre.bsky.social
@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.
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@oymak.bsky.social
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM https://sota.engin.umich.edu/
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@emmapierson.bsky.social
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement." https://people.eecs.berkeley.edu/~emmapierson/
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@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
@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.
@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
@sophie.huiberts.me
linear programming enthusiast. investigator of evil science. haunted by beans. she/her
@henryyuen.bsky.social
Complexity, in all its forms. Associate Professor of Computer Science at Columbia University. http://www.henryyuen.net
@jasonhartline.bsky.social
Professor at Northwestern CS. Economics, by courtesy. Study mechanism design, economics of algorithms, regulation of algorithms, AI and society. https://sites.northwestern.edu/hartline/