Simon Driscoll
@simon-driscoll.bsky.social
450 followers 140 following 23 posts
Assistant (Research) Professor, Department of Applied Mathematics and Theoretical Physics (ICCS), Uni of Cambridge. DPhil Oxford Physics. Reading Uni (SASIP, Schmidt Sciences). ATI 2025. ML/AI, physics, climate, & more.
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simon-driscoll.bsky.social
Deadline extended one day to 5pm EDT 31st July! :)

Check out our great presenters and submit your abstracts on ML for SGS parameterizations, emulation and hybrid modelling here: agu.confex.com/agu/agu25/pr...
simon-driscoll.bsky.social
Deadline: Wednesday, 30 July 23:59 EDT/03:59 UTC

Session Coveners: Simon Driscoll (Cambridge), Sara Shamekh (NYU), Akshay Subramaniam (NVIDIA), Aakash Sane (Princeton), Karan Jakhar (Chicago/Rice)

We look forward to seeing you all there!
simon-driscoll.bsky.social
Deadline: Wednesday, 30 July 23:59 EDT/03:59 UTC

Session Coveners: Simon Driscoll (University of Cambridge), Sara Shamekh (New York University), Akshay Subramaniam (NVIDIA), Aakash Sane (Princeton University - @aakashsane.bsky.social), Karan Jakhar (University of Chicago/Rice University)
simon-driscoll.bsky.social
Absolutely! Anytime. :)
simon-driscoll.bsky.social
The official link is only in Italian but you can download the call in English from the main page linked below under “Call for applications”. Share widely! :)
simon-driscoll.bsky.social
3 years Junior Assistant professor position in the area of DA and ML at the University of Bologna! Deadline: April 18 at 12:00pm CEST.

Contact Prof Alberto Carrassi: [email protected] and [email protected] for more details.

bandi.unibo.it/s/apos5/rif-...
Rif. 1508 - Bando per 1 posto da ricercatore a tempo determinato tipo A - DIFA - GSD 02/PHYS-05 - SSD PHYS-05/B - BO
bandi.unibo.it
simon-driscoll.bsky.social
Thank you Dominic! :) Hope things go great, and see you soon indeed! :)
simon-driscoll.bsky.social
(4/4) Conveners: Simon Driscoll (Reading), Sara Shamekh (NYU/Courant), Aakash Sane (Princeton - @aakashsane.bsky.social), Laura Mansfield (Stanford/now Oxford - @lauramansfield.bsky.social), Michael Bosilovich (NASA), Arun Kumar (NOAA); ECR: Will Gregory (Princeton - @willjgregory.bsky.social).
simon-driscoll.bsky.social
(2/4) Incorporating physics-informed metrics into the equation discovery approach, they developed a model that accurately captures inter-scale energy and enstrophy transfers; leading to the model outperforming traditional physics-based models in representing extreme events and improving forecasting.
simon-driscoll.bsky.social
(1/4) Karan Jakhar (University of Chicago and Rice University) and his colleagues used machine learning to develop a subgrid-scale parameterization for geophysical turbulence that is not only effective but also analytically derivable using Taylor series expansion.