Biography

I am a Postdoctoral Scholar at the California Institute of Technology working at the intersection of scientific machine learning, generative modeling, and computational science.

My research focuses on generative modeling in function spaces, AI for physical systems, and earthquake science. I develop flow-matching and neural-operator methods for stochastic processes, functional regression, Bayesian inverse problems, PDE surrogate modeling, and uncertainty quantification, together with generative models for regional earthquake wavefields and broadband ground motions.

News

Selected Publications

Publications

[7]

Scalable Physics-Inspired Generative Modeling of Coherent Regional Earthquake Wavefields

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Under Review, .

[6]

Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation

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Seismological Research Letters, .

[3]

Universal Functional Regression with Neural Operator Flows

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Transactions on Machine Learning Research, .

[2]

Broadband Ground-Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation

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Bulletin of the Seismological Society of America, .

[1]

Effect of grain size distribution on the shear band thickness evolution in sand

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Géotechnique, .