@pboyle.bsky.social
Founder of Palomar Capital | Visiting Professor at King's College London | Financial Author | YouTuber & Podcaster
@ostunilab.bsky.social
Ultra-Professor at San Raffaele Institute, Milan (IT). Immunity, Cancer, Genomics, Gene Therapy, and Ultra-Running.
@leilaakkari.bsky.social
Cancer Biologist. Group Leader @NKI_nl Amsterdam, @oncodeinstitute. Microenvironment addict. Macrophage groupie. http://akkarilab.com
@janmatthis.bsky.social
Research scientist at Google in Zurich http://research.google/teams/connectomics PhD from @mackelab.bsky.social
@aleximmer.bsky.social
Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP. aleximmer.github.io
@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)
@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.
@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 @eringrant@sigmoid.social, twitter.com/ermgrant @ermgrant
@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
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@timwei.land
PhD student @ ELLIS, IMPRS-IS. Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen. https://timwei.land
@nathanaelbosch.de
PhD student at the University of Tübingen and the Max Planck Institute for Intelligent Systems. Working on probabilistic numerics, differential equations, filtering and smoothing, and recently automl for time series forecasting. nathanaelbosch.github.io
@joannasliwa.bsky.social
ELLIS & IMPRS-IS PhD student at University of Tübingen Working on Bayesian Deep Learning in Philipp Hennig's group Website: https://joannasliwa.github.io
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@deshwalaryan.bsky.social
Bayesian Optimization and Gaussian Processes University of Minnesota Web: https://aryandeshwal.github.io/
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@henrygo.uk
Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI. henrygouk.com
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@adrhill.bsky.social
PhD student at @bifold.berlin, Machine Learning Group, TU Berlin. Automatic Differentiation, Explainable AI and #JuliaLang. Open source person: adrianhill.de/projects
@jejjohnson.bsky.social
Expat: 🇺🇸—>🇦🇪🇫🇷🇪🇸 Data Engineer @ UNEP-IMEO-MARS Data-Driven Geoscience: - Data Engineering - Machine Learning - MLOPs I truly believe that software will save science!
@cgtyyldz.bsky.social
day-time ML researcher 💻, night-time confused thinker 🤔, sharp 3-point shooter 🏀. postdoc @ tübingen 🇩🇪, was phd @ aalto 🇫🇮 and msc @ bogazici 🇹🇷. istanbul lover.
@bartzbeielstein.bsky.social
AI, Math, Stats, ML, Hyperparameter Tuning. Director Inst. Data Science, Engineering, and Analytics ORCID: 0000-0002-5938-5158
@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.
@niklasschmitz.bsky.social
PhD student at EPFL, Math for materials modelling. Prev CS at TU Berlin. github.com/niklasschmitz
@fsschneider.bsky.social
Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
@jrichterpowell.bsky.social
Current: @NVIDIA / PhD student @MIT [on hiatus]. Former UofT/Vector/MILA/McGill. Opinions my own. 🏳️⚧️ 🏳️🌈
@ropeharz.bsky.social
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@johanneszenn.bsky.social
PhD Student in Machine Learning @unituebingen.bsky.social, @ml4science.bsky.social, @tuebingen-ai.bsky.social, IMPRS-IS; currently @vectorinstitute.ai; jzenn.github.io
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@federicobergamin.bsky.social
Postdoc in machine learning at the Technical University of Denmark (DTU). PhD from DTU. Spent time at Cambridge CBL, DTU, UBC, and University of Padova. https://federicobergamin.github.io/
@rdmichael.bsky.social
PhD student at University of Copenhagen, @DIKU, @KU_BioML group, DDSA fellow.
@miguelgondu.bsky.social
Mathematician interested in optimization, probabilistic modelling, and differential geometry. miguelgondu.com/about
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@renberlinghieri.bsky.social
PhD student, MIT EECS. Interested in statistical inference, machine learning, optimal transport.
@mjordahn.bsky.social
Probabilistic Machine Learning and Bayesian Deep Learning for Uncertainty Quantification and Bayesian Optimisation
@pbrunzema.bsky.social
PhD student on learning-based control; interested in everything around Bayesian optimization and robotics
@mustas.bsky.social
Ph.D. @ DTU Compute (Cognitive Systems) Personal website: https://syrota.me/ Github: https://github.com/mustass
@pnkraemer.bsky.social
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/