Jef Jonkers
PhD Researcher in Machine Learning @ Ghent University. FWO PhD Fellowship. Interested in uncertainty quantification, conformal prediction, distributional regression, decision-making under uncertainty, and ML and AI for healthcare.
@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
@lodecossaer.bsky.social
Mises, Hayek & Nozick vat het goed samen. - http://lodecossaer.substack.com
@tenanatc.bsky.social
Using Statistical Analysis to Cut Through the BS. Historically posting mostly about Sport, Physiology & Research Methods. No idea what I'll post now. Follow and find out, I guess.
@infowetrust.com
Obsessed with data graphics. Stumbling toward the light. New book INFO WE TRUST https://linktr.ee/infowetrust
@gergely.pragmaticengineer.com
Writing The Pragmatic Engineer (@pragmaticengineer.com), the #1 technology newsletter on Substack. Author of The Software Engineer's Guidebook (engguidebook.com). Formerly at Uber, Skype, Skyscanner. More at pragmaticengineer.com
@gertpeersman.bsky.social
Professor of Economics at Ghent University. Posts in English & Dutch
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@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, ...
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@vandeneeckhoutkoen.bsky.social
📊 Turning complex data into powerful visual stories! Author of 'Powerful Charts'. Ex-physicist. He/him 🏳️🌈
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@casey.greenelab.com
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
@roxanadaneshjou.bsky.social
Assistant professor of biomedical data science and dermatology at Stanford. AI for healthcare. Associate editor at NEJM AI and the Journal of Investigative Dermatology. Mother of a sassy girl and a baby boy.
@irenetrampoline.bsky.social
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF. https://irenechen.net/
@kdpsingh.bsky.social
Faculty at UC San Diego. Chief Health AI Officer at UC San Diego Health. Creator of Tidier.jl #JuliaLang. #GoBlue. Views own.
@xiaoliu.bsky.social
Health at Microsoft AI Deputy Editor @ai.nejm.org Hon Associate Professor @unibirmingham.bsky.social Prev Apple, Prev ophthalmology doctor in the NHS
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
@twkillian.bsky.social
Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
@emilyalsentzer.bsky.social
Assistant Professor at Stanford. Trustworthy, deployable ML/NLP for healthcare.
@stephenpfohl.bsky.social
Research scientist at Google. Previously Stanford Biomedical Informatics. Researching #fairness #equity #robustness #transparency #causality #healthcare
@fepegar.com
Senior research machine learning engineer at Microsoft Research Health Futures. PhD in Medical Imaging. Open source & open access. Created TorchIO. He/him.
@tomdiethe.com
Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
@dccastr0.bsky.social
Researcher in ML for health at @msftresearch.bsky.social. PhD alumnus Imperial College. He/him
@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
@arinbjorn.is
Visiting Postdoc Scholar @UVA Previously: PhD Imperial, Evidation Health, Samsung AI Researching core ML methods as well as computational/statistical methods in biomedicine, health and law arinbjorn.is 📍Switzerland
@xhan2.bsky.social
Assistant Professor @ Case Western Reserve Univ. CS Ph.D. @TAMU ahxt.github.io
@cabannon.bsky.social
Gut Hormone Clinical Researcher University of Cambridge Interested in use of AI in clinical research. Used to be OK at running 5000m.
@allthingsapx.bsky.social
Product Marketing Lead @NVIDIA | PhD @UMBaltimore | omics, immuno/micro, AI/ML | 🇺🇸🇸🇰 | Posts are my own views, not those of my employer.
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@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
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@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
@eringrant.bsky.social
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @[email protected], twitter.com/ermgrant @ermgrant
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@mgorinova.bsky.social
ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@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)
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@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
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@mgollub.bsky.social
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.