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, 🐎 🎶
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine
RS at at GDM, Science Team. Prev: Google Brain
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
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)
Professor at the Department of Mathematics and Computer Science at the University of Marburg, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
Assistant professor, University of Bonn and Lamarr Institute, Geometry on Machine Learning group
Group leader at #HHMIJanelia
We aim at unraveling the intricacies of molecular perception and designing sensing molecular systems from the ground up. We work at the interface of biophysics, biochemistry, and materials science.
@ Max Planck Institute for Polymer Research, Mainz.
A new scientific institution for curiosity-driven biomedical science and technology.
@Stanford Professor. AI for science and medicine.
Machine learning for biology | Stanford and Arc Institute
