Publications

Research in scientific computing, inverse problems, and open software

My work connects applied mathematics, high-performance computing, and scientific software. Browse the archive by publication type, or find complete citation records on Google Scholar and ResearchGate.

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Peer-reviewed archive

Journal articles

Peer-reviewed work in computational geoscience, numerical optimization, machine learning, and high-performance scientific computing.

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Conference archive

Conference papers

Research presented across geophysics, inverse problems, machine learning, and high-performance computing venues.

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Talk archive

Presentations

Invited talks, workshops, and conference presentations covering the evolution of my research and software work.

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Research archive

Technical reports

Extended abstracts, reports, and other research outputs with links and collapsible summaries.

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Doctoral thesis · Georgia Tech · 2020

Modeling for inversion in exploration geophysics

My thesis develops abstractions and performance strategies for large-scale seismic inversion. It introduces tools for understanding numerical performance across hardware architectures and explores how Devito’s symbolic interface and just-in-time compiler make sophisticated wave-equation solvers both accessible and computationally efficient.

The central idea is separation of concerns: researchers should be able to describe the mathematics clearly while the software generates optimized, parallel implementation code.

Read the full thesis

Seismic inversion Finite-difference methods Performance modeling Domain-specific languages Devito