Vikas Chowdhry
Bridging the gap between Healthcare & AI. Currently building https://TraumaCare.AI. Chicago Booth, ex-Epic, ex-Parkland Health. Proud immigrant.
@ristouuk.bsky.social
Head of EU Policy and Research at the Future of Life Institute | PhD Researcher at KU Leuven | Systemic risks from general-purpose AI
@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
@yoavgo.bsky.social
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@ramon-astudillo.bsky.social
Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary. ramon.astudillo.com
@haldaume3.bsky.social
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
@bwyble.bsky.social
Academic, cognitive & vision scientist, computational modeller, cofounder @neuromatch Academy, He/His. This is a personal account.
@fedeadolfi.bsky.social
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io
@grimalkina.bsky.social
Psychologist for Software Teams (& writing a book about it). Founder: Developer Success Lab, Catharsis Consulting. VP of Research. Defender of the mismeasured. https://www.drcathicks.com/ Host at: https://www.changetechnically.fyi/
@tomlim.bsky.social
Postdoc at Meta and University of Washington in NLP. Before: PhD from Charles University (Prague 🏰). Interested in going into the inner workings of neural networks 🔍, multilinguality 🌍, tokenization 🔡 and fairer NLP ⚖️ (he/him)
@lasha.bsky.social
✨On the faculty job market✨ Postdoc at UW, working on Natural Language Processing 🌐 https://lasharavichander.github.io/
@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
@kmuth.bsky.social
Assistant prof of digital humanities @ Durham English, books about work || work about books, she/they, https://krmuth.github.io/
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@jamichaelov.bsky.social
Postdoc at MIT. Research: language, the brain, NLP. jmichaelov.com
@jrudoler.bsky.social
wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)
@mrdrozdov.com
Research Scientist @ Mosaic x Databricks. Adaptive Methods for Retrieval, Generation, NLP, AI, LLMs https://mrdrozdov.github.io/
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@smerity.bsky.social
Always pondering startups, ML, Rust, Python, and 3D printing. Independent ML researcher consulting on LMs + data. Previously: Salesforce Research, MetaMind, CommonCrawl, Harvard. 🇦🇺 in SF. He/him. Personal blog: https://state.smerity.com
@jhamrick.bsky.social
Senior staff research scientist at Google DeepMind. She/her. Opinions my own. Reposts are not endorsements. Reasoning in LLMs 🤖 / planning 💭 / model-based RL 🌍 / flowers🌷 / parenting 👶 / games 🎮 / public transit 🚆 http://www.jesshamrick.com
@bramzijlstra.com
Machine Learning Engineer with a background in Philosophy and AI. I live in Amsterdam. Right now working at the Dutch Chamber of Commerce (KVK). Also founder of a boutique consulting firm.
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@przemyslslaw.bsky.social
CS faculty at University College Dublin and the University of Massachusetts Amherst: responsible AI, social media, news media, computational social science, applied NLP, open-world AI RT≠endorsement, RT=interesting read More: https://przemyslslaw.github.io
@nolovedeeplearning.bsky.social
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@vaishnavh.bsky.social
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸 Google Research | PhD, CMU | https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963 vaishnavh.github.io
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@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
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@samuelvaiter.com
CNRS Researcher in maths & computer science. My (current) focus is machine learning and optimization. I live & work in Nice 🇫🇷 website: https://samuelvaiter.com
@luciolcw.bsky.social
Assistant Professor @ University of Calabria 🇮🇹 👨🏻💻 Ph.D. in Information and Communication Technologies Prev. Visiting @ IT University of Copenhagen 🇩🇰 🤖 Multimodal Representation Learning & Networks https://luciolacava.me/
@eigenhector.bsky.social
Machine learning, meditation, magic, muscles, mathematics, metta, meta, memes, manifolds. Researcher in Machine Learning and Contemplative arts. https://scholar.google.com/citations?user=KjOV76MAAAAJ&hl=en Recsys book author https://amzn.to/3ANPx6e
@jparkerholder.bsky.social
RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@sethlazar.org
Philosopher working on normative dimensions of computing and sociotechnical AI safety. Lab: https://mintresearch.org Self: https://sethlazar.org Newsletter: https://philosophyofcomputing.substack.com
@olegranmo.bsky.social
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
@motonobu-kanagawa.bsky.social
Statistics, machine learning, numerics, and simulation at EURECOM.
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@rockt.ai
Director and Open-Endedness Team Lead Google DeepMind (GDM). Professor of Artificial Intelligence, University College London (UCL), and PI of @ucldark.com. Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS).
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@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.
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
