I like using machine learning to solve problems in physics, from discovering physical laws from observational microscopy data, designing and making better materials, and moving atoms by electron beams. Currently my group build automated microscopes.
Particle Physicist at IJCLab-Orsay, ATLAS experiment at CERN.
Higgs Boson and AI.
#ML competitions and open datasets Higgsml, TrackML, and now Fair Universe Higgsml Uncertainties
#ai4science
Official Twitter for the Gómez-Bombarelli group at MIT DMSE | We use atomistic simulations and ML for accelerated materials design | Managed by group members.
http://gomezbombarelli.mit.edu
makes Lean at Lean FRO
Munich, Germany
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Microsoft Research AI for Science, previously physics @ Cambridge. views my own
Research Scientist @Microsoft AI for Science. Ph.D @Harvard, B.S. @PKU
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, 🐎 🎶
We advance science and technology to benefit humanity.
http://microsoft.com/research
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We’ve got the brains for the future. For the benefit of society.
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International Conference on Learning Representations https://iclr.cc/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
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