Francesco Immorlano
@f-immorlano.bsky.social
Postdoc researcher @ University of California Irvine, LEAP NSF-STC - Columbia University
Machine Learning & Generative modeling for Climate Science
Machine Learning & Generative modeling for Climate Science
If you’re curious about my research, feel free to check out the paper. I’m always happy to chat, so please don't hesitate to reach out!
📑 Paper: www.pnas.org/doi/10.1073/...
📑 Paper: www.pnas.org/doi/10.1073/...
Transferring climate change physical knowledge | PNAS
Precise and reliable climate projections are required for climate adaptation and mitigation,
but Earth system models still exhibit great uncertaint...
www.pnas.org
June 6, 2025 at 5:32 PM
If you’re curious about my research, feel free to check out the paper. I’m always happy to chat, so please don't hesitate to reach out!
📑 Paper: www.pnas.org/doi/10.1073/...
📑 Paper: www.pnas.org/doi/10.1073/...
Huge thanks to the Center for Climate Systems Modeling (C2SM) and the EXCLAIM team for organizing such a well-curated event with an amazing agenda. It was an honor to be part of it.
🧵 7/n
🧵 7/n
June 6, 2025 at 5:31 PM
Huge thanks to the Center for Climate Systems Modeling (C2SM) and the EXCLAIM team for organizing such a well-curated event with an amazing agenda. It was an honor to be part of it.
🧵 7/n
🧵 7/n
📊 Harnessing observations is critical. Since even high-resolution models are imperfect, effectively leveraging observational data through AI-empowered data assimilation becomes crucial for improving model accuracy and reliability.
🧵 6/n
🧵 6/n
June 6, 2025 at 5:31 PM
📊 Harnessing observations is critical. Since even high-resolution models are imperfect, effectively leveraging observational data through AI-empowered data assimilation becomes crucial for improving model accuracy and reliability.
🧵 6/n
🧵 6/n
⚙️ Differentiable physics is essential. There’s a pressing need to redesign physics-based models so that they are differentiable, enabling seamless integration with AI frameworks.
🧵 5/n
🧵 5/n
June 6, 2025 at 5:31 PM
⚙️ Differentiable physics is essential. There’s a pressing need to redesign physics-based models so that they are differentiable, enabling seamless integration with AI frameworks.
🧵 5/n
🧵 5/n
Here are some of my key takeaways:
🔗 Hybrid approaches are the future. Rather than relying solely on physics-based models or purely data-driven approaches, the real breakthrough lies in combining both approaches to unlock the best of both worlds.
🧵 4/n
🔗 Hybrid approaches are the future. Rather than relying solely on physics-based models or purely data-driven approaches, the real breakthrough lies in combining both approaches to unlock the best of both worlds.
🧵 4/n
June 6, 2025 at 5:27 PM
Here are some of my key takeaways:
🔗 Hybrid approaches are the future. Rather than relying solely on physics-based models or purely data-driven approaches, the real breakthrough lies in combining both approaches to unlock the best of both worlds.
🧵 4/n
🔗 Hybrid approaches are the future. Rather than relying solely on physics-based models or purely data-driven approaches, the real breakthrough lies in combining both approaches to unlock the best of both worlds.
🧵 4/n
The symposium featured an inspiring lineup of talks that showcased the massive developments happening at the intersection of AI and climate science.
🧵 3/n
🧵 3/n
June 6, 2025 at 5:27 PM
The symposium featured an inspiring lineup of talks that showcased the massive developments happening at the intersection of AI and climate science.
🧵 3/n
🧵 3/n
The poster session was exciting. I had the chance to connect with fantastic researchers, many of whom showed genuine interest in my work and engaged in meaningful discussions.
🧵 2/n
🧵 2/n
June 6, 2025 at 5:27 PM
The poster session was exciting. I had the chance to connect with fantastic researchers, many of whom showed genuine interest in my work and engaged in meaningful discussions.
🧵 2/n
🧵 2/n
Truly grateful to my mentors - Pierre Gentine, Giovanni Aloisio, and Stephan Mandt - and to the co-authors for their support and the opportunity to work on such an amazing project at the intersection of AI and climate. 🧵 4/4
April 9, 2025 at 5:33 AM
Truly grateful to my mentors - Pierre Gentine, Giovanni Aloisio, and Stephan Mandt - and to the co-authors for their support and the opportunity to work on such an amazing project at the intersection of AI and climate. 🧵 4/4
In this work, we use a Transfer Learning strategy to constrain CMIP6 simulations to historical observations, ultimately providing more precise and reliable estimates of global warming spatially resolved on global and regional scales. 🧵 3/4
April 9, 2025 at 5:28 AM
In this work, we use a Transfer Learning strategy to constrain CMIP6 simulations to historical observations, ultimately providing more precise and reliable estimates of global warming spatially resolved on global and regional scales. 🧵 3/4
Earth System Models are currently the main tools used to project climate change according to future emission pathways. However, they still exhibit large uncertainties which are a major roadblock for policymakers. 🧵 2/4
April 9, 2025 at 5:27 AM
Earth System Models are currently the main tools used to project climate change according to future emission pathways. However, they still exhibit large uncertainties which are a major roadblock for policymakers. 🧵 2/4
Can you please add me? Thank you so much!
@f-immorlano.bsky.social
@f-immorlano.bsky.social
November 21, 2024 at 4:34 AM
Can you please add me? Thank you so much!
@f-immorlano.bsky.social
@f-immorlano.bsky.social