@keyonv.bsky.social
Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences https://keyonvafa.com
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@upam.bsky.social
@rjsr.bsky.social
🌮🤖 Speech and language modeling researcher. Principal SWE @ Google Deepmind. ♊🌊 Gemini Audio and Astra core team. http://rjryan.me/ https://google.github.io/tacotron
@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
@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/
@maosbot.bsky.social
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, trans rights, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@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
@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.
@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
@sethaxen.com
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/Stuttgart area) sethaxen.com
@idris1.bsky.social
Johns Hopkins CS PhD student. #MedicalRobotics #ComputerVision #DeepLearning #Guitar
@javaloyml.bsky.social
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io
@lenazellinger.bsky.social
ELLIS PhD student at the University of Edinburgh https://lenazellinger.github.io/
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@leanderk.bsky.social
ML PhD student @ Uni Edinburgh Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@andreasgrv.bsky.social
Postdoc in ML/NLP at the University of Edinburgh. Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs. https://grv.unargmaxable.ai/
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@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
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@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)
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@sperez-vieites.bsky.social
Postdoctoral researcher at Aalto University and FCAI, Helsinki 🇫🇮 Previously in Edinburgh, Lille and Madrid. Working on Bayesian inference for state-space models, and Bayesian experimental design. https://sarapv.github.io/
@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.
@mschauer.bsky.social
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
@pierrealquier.bsky.social
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
@siahkoohi.bsky.social
Assistant Professor, CS at UCF | Uncertainty Quantification https://alisiahkoohi.github.io/
@kareemyousrii.bsky.social
Postdoc @ University of California, Irvine | PhD from CS@UCLA Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models kareemahmed.com
@wordscompute.bsky.social
nlp/ml phding @ usc, interpretability & reasoning & pretraining & emergence 한american, she, iglee.me, likes ??= bookmarks
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@flaviucipcigan.bsky.social
Building AIs for scientific discovery at IBM Research & AI Alliance. Discovered antibiotics and materials for carbon capture. Tango dancer. See more at flaviucipcigan.com. Opinions my own.
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@ianholmes.org
Berkeley professor (Bioeng, Compbio). Visiting Scientist at Calico. JBrowse genome browser / Apollo annotation editor, ML for gene regulation / molecular evolution / synbio. Occasional music, games, jokes
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@jamesallingham.bsky.social
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
@dan-kowal.bsky.social
Associate Professor of Statistics and Data Science at Cornell University. https://www.danielrkowal.com/
@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