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Thrilled to share what we have been working on for the past year. Aurora is a major step forward towards a foundation model of the entire Earth system. I am very excited by all the downstream applications it will enable.

Whoa, Aurora is featured in a Nature news article! We believe that forecasting atmospheric chemistry is only the beginning of what’s possible with foundation models for environmental forecasting. nature.com/articles/d4158…

I have an opening for a 2.5-year postdoc position in the RainML lab as part of my ERC grant on probabilistic machine learning and intelligent data acquisition. Application deadline 10th July 2024. See here for details and to apply: tinyurl.com/rainmlpostdoc

Curious what I've been working on since joining AI for science? With an incredible, multidisciplinary team we've studied the 'wave function -> election density' marginalisation using score matching & NCE. This has some big gains over older Gaussian-based methods.

Excited to share that I recently defended my DPhil 🎉 Huge thanks to my supervisors Tom Rainforth and Yee Whye Teh, all my co-authors, especially Adam Foster, collaborators and mentors. Thanks to my assessors M A Osborne and Samuel Kaski for the interesting and stimulating discussion.

Interested in working with a highly collaborative, interdisciplinary team to push the state of the art of generative AI for materials design? Join us as an intern by applying through this link! We are the team behind the MatterGen and MatterSim models from Microsoft Research AI

BIG opportunities to join Microsoft Research AI for science: one senior researcher and one RSDE position, both focused on applications in molecular biology with the awesome Frank Noe. Cambridge, UK or Berlin, DE.

The aleatoric-epistemic view on uncertainty doesn't serve ML researchers' needs and should be replaced. Come to the talk and poster tomorrow (Sat 14 Dec) at the #NeurIPS2024 workshop on Bayesian decisions (gp-seminar-series.github.io/neurips-2024). openreview.net/forum?id=WIjgb…

There’s a lot of confusion around uncertainty in machine learning. We argue the "aleatoric vs epistemic" view has contributed to this and present a rigorous alternative. #ICML2025 with Jannik Kossen @eleanortrollope Mark van der Wilk @adamefoster Tom Rainforth 1/5

I have an opening for a 2-year postdoc in probabilistic machine learning and/or experimental design. The application deadline is the 3rd of September. See here for details and how to apply: tinyurl.com/rainmlpostdoc2…