Oxford AI4Science Lab

The Oxford AI4Science (artificial intelligence for science) Lab is a part of the Department of Computer Science at the University of Oxford, and is led by Atılım Güneş Baydin.

The lab specializes in probabilistic machine learning and scientific discovery. We collaborate with experts in disciplines including particle physics, heliophysics, astrobiology, Earth science, and computational social science, making contributions to solve important problems in these domains through application and development of AI methods. Highlights of our work include supercomputing-scale Bayesian inference in simulators of the Standard Model of particle physics, new calibration techniques for the NASA Solar Dynamics Observatory, and deploying machine learning algorithms onboard spacecraft launched to Earth orbit.

Our research has been funded by NASA, European Space Agency, US Department of Energy, and UK Space Agency.

Research Areas

Differentiable programming, probabilistic programming, simulation-based inference, Bayesian methods

Press Releases and Media Coverage

Recent Work