Simon Driscoll
banner
simon-driscoll.bsky.social
Simon Driscoll
@simon-driscoll.bsky.social
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.
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!
July 8, 2025 at 10:54 PM
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)
June 24, 2025 at 5:26 AM
Absolutely! Anytime. :)
May 28, 2025 at 10:53 PM
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! :)
April 4, 2025 at 4:05 PM
Thank you Dominic! :) Hope things go great, and see you soon indeed! :)
November 28, 2024 at 11:53 PM
(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).
November 28, 2024 at 8:21 PM
(3/4) If this is interesting then consider our AGU session where this and more like it will be being presented as talks: agu.confex.com/agu/agu24/me... and as posters: agu.confex.com/agu/agu24/me... Please get in contact if there’s anything I can help you with. Look forward to seeing you there!
Data-Driven Science: Developments in Machine Learning Subgrid-Scale Parameterizations and in Reanalyses Across Earth System Modeling I Oral
Subgrid-scale (SGS) parameterizations estimate effects of unresolved processes without modeling them directly and are often a large source of uncertainty in Earth system models (ESMs). The need to imp...
agu.confex.com
November 28, 2024 at 8:16 PM
(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.
November 28, 2024 at 8:16 PM
Thank you! :)
November 22, 2024 at 7:22 AM