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Hi there 👋

I am a Postdoctoral Fellow at the ETH Zürich AI Center and member of the ETH Zürich Computational and Applied Mathematics Lab. My research focuses on developing scientific machine learning algorithms that can scale to solve real-world problems. Check out my website / blog and LinkedIn profile for more. I am also a ML Team Lead for NASA's Frontier Development Lab.

I'm open to collaboration on projects involving scientific machine learning / physics-informed machine learning. Check out my FBPINNs repository for our latest work on scalable physics-informed neural networks.

Ben Moseley's Projects

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ETH Zürich AI in the Sciences and Engineering Master's course 2024

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ETH Zürich Deep Learning in Scientific Computing Master's course 2023

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Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

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This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et al, 2020, Solid Earth)

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