Research
I'm broadly interested in aspects of imaging, inverse problems, optimization, signal processing, scientific computing, numerical methods, numerical simulation, high-performance computing, machine learning, data analysis, seismic data processing, and wave propagation.
My thesis work is in wave-based imaging, with an emphasis on seismic reverse-time migration and full-waveform inversion.
For my publications list, please see my Google Scholar profile.
Reflection and transmission contributions to the full-waveform inversion Hessian
Collaborated with Laurent Demanet (MIT)
Superresolution with the zero-phase imaging condition
Collaborated with Laurent Demanet (MIT)
Physics-embedded inverse analysis with automatic differentiation for the earth's subsurface
Collaborated with Wu Hao (1st author, LANL) and Daniel O'Malley (LANL)
Early steps towards practical subsurface computations with quantum computing
Collaborated with Daniel O'Malley (Los Alamos National Laboratory)
A comparison of linear solvers for resolving flow in three-dimensional discrete fracture networks
Collaborated with Jeffrey Hyman (LANL) and Daniel O'Malley (LANL)
An approach to seismic inversion with quantum annealing
Collaborated with Daniel O'Malley (Los Alamos National Laboratory)
A data matching algorithm and its applications in seismic data analysis
Undergraduate honors thesis, UT Austin 2018
Prestack phase corrections using local seismic attributes
Collaborated with Sergey Fomel (UT Austin) and Michael Fry (BP)
Improving migration resolution by approximating the least-squares Hessian using non-stationary amplitude and frequency matching
Collaborated with Zhiguang Xue (UT Austin) and Sergey Fomel (UT Austin)
Matching and merging high-resolution and legacy seismic images
Collaborated with Sergey Fomel (UT Austin)