Shahine Bouabid 🦋

Statistical modelling for climate emulation @eapsMIT
🇲🇦 @nechfate
📷 (he/him)

[ISP • Image and Signal Processing @isp_uv_es]

🚨 Want to join us?

- We offer 5 postdoc positions in European projects in València

- ML/DL, #Earth science, #hybrid modelling, #climate model #parametrization, #UQ, #diffusion & #foundation models

- Apply by Aug 1st 2024: https://t.co/hnAtT8q4L7

Happy summer! 🌊🌞🥘⚽️

[Peter Manshausen @PManshausen]

🚨New preprint🎉
"Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales"
https://t.co/FbfxNyeDvA

An absolute pleasure working on this during my internship @nvidia with @NoahBrenowitz @SciPritchard @JaideepPathak @tropmetpie and others 🧵

[Shahine Bouabid 🦋 @shbouabid]

📢Excited to share I've successfully defended my thesis at @oxcsml and will be joining @eapsMIT this summer as a postdoctoral associate🌍

Many thanks to my examiners @nicholls_geoff and Tom Beucler, to my supervisor @sejDino, and to @DWatsonParris for making this possible!

[Siu Lun Chau @Chau9991]

🌟 It’s a great honour that our work has been selected as a spotlight paper for #ICML2024 ! This work offers a new perspective on Domain Generalisation so check it out!

Many thanks to collaborators @_anurags14 @shbouabid @krikamol!

[Shahine Bouabid 🦋 @shbouabid]

I want to thank my wonderful co-authors @DWatsonParris @sejDino @iMIRACLI_ITN, but also @maybritt_sch and three anonymous reviewers for their great quality feedback on this work!

[Shahine Bouabid 🦋 @shbouabid]

📢🥳FaIRGP is out!

It's a mathematically tractable and easy-to-use probabilistic ML emulator of surface temperatures that uses FaIR as its backbone. This hybrid model improves over purely physics or data-driven emulators with uncertainty quantification!

https://t.co/Go7nb99FYa

[Shahine Bouabid 🦋 @shbouabid]

📢Happy to share our latest work with @sejDino @DWatsonParris : FaIRGP, an emulator that combines the robustness of simple climate models and the flexibility and uncertainty quantification of GPs.

📰Preprint: https://t.co/yeR39yUQNs
💻Code: https://t.co/MXKypss7hX
⏬More below

[Krikamol (Hiring Postdoc) @krikamol]

🚨 Our #ICML2024 paper contends that domain generalisation encompasses both statistical learning and decision-making. Learners are thus compelled to make normative judgments, leading to misalignment amidst institutional separation from model operators.

@icmlconf

[Peter Manshausen @PManshausen]

⚠️New paper out⚠️
Excited to share the publication of our latest work on the response of clouds to shipping emissions🚢
Satellite retrievals + modelled shipping pollution = insights into aerosol-cloud-climate change interactions.

[Shahine Bouabid 🦋 @shbouabid]

@HoussamZenati @inria_grenoble @CriteoAILab @Inria Congrats @HoussamZenati !!

[Krikamol (Hiring Postdoc) @krikamol]

On the academic job market this year? @CISPA offers an exciting opportunity to conduct world-class research with generous research support.

🚨 Tenure-Track Faculty in Artificial Intelligence and Machine Learning (f/m/d)

RT Please 🙏

https://t.co/DIkoBtQXFf

[Zeke Hausfather @hausfath]

Its hard to overstate just how exceptionally high global temperatures are at the moment. They have blown past anything we've previously experienced by a huge margin.

Over at The Climate Brink, we try and visualize this summer of extremes in seven charts. https://t.co/yApwMbyxgG

[Bon Pote @BonPote]

Il y a 48h, une étude scientifique publiée annonçait que la 6ème limite planétaire sur 9 était désormais officiellement dépassée... et ce fut un vrai raz de marée médiatique !

Non bien sûr, comme d'habitude, tout le monde s'en fout.

[Jean-François Ton @jeanfrancois287]

📢Post-doc opening in Adelaide with Prof. Dino Sejdinovic @sejDino 📢
I highly recommend working with Dino, who was one of my supervisors during my PhD in Oxford :)
Consider applying if you want to do a great post-doc in sunny Australia !

https://t.co/oV6M0DzcP4

[Shahine Bouabid 🦋 @shbouabid]

By gaining trust in such a data-driven yet physically grounded model, we hope the climate science community can benefit more widely from their potential.

[Shahine Bouabid 🦋 @shbouabid]

📢Happy to share our latest work with @sejDino @DWatsonParris : FaIRGP, an emulator that combines the robustness of simple climate models and the flexibility and uncertainty quantification of GPs.

📰Preprint: https://t.co/yeR39yUQNs
💻Code: https://t.co/MXKypss7hX
⏬More below

[Shahine Bouabid 🦋 @shbouabid]

Finally, FaIRGP is easy-to-use (analytical expressions throughout), can naturally account for climate internal variability and provides principled uncertainty quantification through its Bayesian treatment.