Sven Behnke
Professor for Autonomous Intelligent Systems, University of Bonn, Germany, Lamarr Institute, ELLIS Fellow.
@simoneschaub.bsky.social
Assistant Professor of Computer Science at TU Darmstadt, Member of @ellis.eu, DFG #EmmyNoether Fellow, PhD @ETH Computer Vision & Deep Learning
@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.
@tuebingen-ai.bsky.social
The Tübingen AI Center is a joint partnership between the University of Tübingen and the Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and at ensuring the societal benefits of AI. https://tuebingen.ai/imprint
@amsterdamnlp.bsky.social
Posting about research fby and events and news relevant for the Amsterdam NLP community. Account maintained by @wzuidema@bsky.social
@lecslab.bsky.social
The Low-resource + Endangered language and Computational Semantics (LECS) group at @bouldernlp.bsky.social, led by @alexispalmer.bsky.social
@webis.de
Information is nothing without retrieval The Webis Group contributes to information retrieval, natural language processing, machine learning, and symbolic AI.
@lagom-nlp.bsky.social
We are the Leuven AI Group of Multilingual NLP (LAGoM NLP), a research lab at the department of Computer Science at KU Leuven, led by @mdlhx
@gklambauer.bsky.social
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
@amlab.bsky.social
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
@paulvilloutreix.bsky.social
Mathematical and systems biologist | Junior Professor INSERM & Group Leader Turing Center for Living Systems | https://bioml.lis-lab.fr
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@anilananth.bsky.social
Journalist with bylines in Nature, Quanta, Scientific American, New Scientist, and many more; former deputy news editor at New Scientist Author of 4 popular science books, including WHY MACHINES LEARN: The Elegant Math Behind Modern AI; TED speaker
@haesleinhuepf.bsky.social
Biomedical Computer Vision & Language Models, scads.ai / Leipzig University, also NFDI4BIOIMAGE, NEUBIAS/GloBIAS, GPUs, AI, ML 🔬🖥️🚀 views:mine
@compbiologist.bsky.social
ML/AI methods & tools for using massive public data collections to gain insights into complex disease mechanisms. Associate Professor & Group leader thekrishnanlab.org at the Dept. of Biomedical Informatics at CU Anschutz.
@danielzuegner.bsky.social
Senior Researcher @msftresearch.bsky.social #AI for #Science. Past: PhD @ TUM, internships @ Amazon AWS, Spotify. Amateur Photographer in my free time.
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@zorah.bsky.social
Assistant professor, University of Bonn and Lamarr Institute, Geometry on Machine Learning group
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@sebastianlerch.bsky.social
Junior research group leader at the Karlsruhe Institute of Technology, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
@mgalkin.bsky.social
Research Scientist @ Google. Prev: Intel, Postdoc @mila-quebec.bsky.social & McGill. GraphML, GNNs, Geometric DL, Knowledge Graphs. Grandmaster of 80's music (according to Spotify)
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@jobrandstetter.bsky.social
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@simonbatzner.bsky.social
Senior RS at DeepMind. Likes deep learning, supercomputing, physics. Prev: Google Brain, Harvard, MIT, NASA
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@janstuehmer.bsky.social
ML for Science, Interpretability & GNNs. Jun.-Prof. @ KIT. ML-Group @ Heidelberg Institute for Theoretical Studies. Previously Samsung AI, Microsoft Research, MIT-CSAIL, TUM & Caltech. Opinions and typos are my own.
@meneton.bsky.social
RNA, Evolutionary Biology, Machine Learning, and ancient history. Building evolutionary ML models. Cambridge, UK
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@roshanrao.bsky.social
Proteins, evolutionary models, unsupervised learning. Prev: Research Scientist MetaAI, PhD Berkeley. he/him.
@smukherjee89.bsky.social
Senior Manager @ Oracle Health. Interested in clinical LLMs, ML + genetics!! Ex-insitro, Microsoft AI4Good, UW. Biriyani expert. Kolkata-> Seattle. Views are my own. Scholar: https://shorturl.at/QTBGR Linkedin: https://shorturl.at/WuGl
@activelearner.bsky.social
Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech
@martinsteinegger.bsky.social
Developing data intensive computational methods • PI @ Seoul National University 🇰🇷 • #FirstGen • he/him • Hauptschüler
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Assistant Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@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
@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
@moalquraishi.bsky.social
MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.
@maosbot.bsky.social
Parent, spouse, Australian, cyclist, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@tomdiethe.com
Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
@martin-r-oswald.bsky.social
Doing research in 3D computer vision! Assist. Prof. @UvA Amsterdam | Prev. ETH Zurich | TUM
@dimadamen.bsky.social
Professor of Computer Vision, @BristolUni. Senior Research Scientist @GoogleDeepMind - passionate about the temporal stream in our lives. http://dimadamen.github.io