Scientific Machine Learning for Uncertainty Quantification (An approach towards Net-Zero emission)
🌟 Introducing Swapnil Kumar from Imperial College London
Swapnil Kumar is an Affiliate, Research Supervisor, Mentor & Graduate Teaching Assistant at Imperial College London. With extensive experience across academia and industry in the US, UK, Switzerland, and India, he brings a wealth of knowledge to the program.
In the upcoming program, Swapnil will lead sessions on Climate x Energy and Climate x AI Innovation, covering:
- Lightweight structures and engine design for improved emission & fuel efficiency
- AI & machine learning applications in climate science
- Quantum computing for climate modeling
- Scientific Machine Learning for Uncertainty Quantification in climate predictions
His multidisciplinary expertise spanning engineering, AI, and climate science will provide invaluable insights to our future climate leaders.
Join us in welcoming Swapnil Kumar to our global faculty team for the 2024 Climate x Leadership Training Program!
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