Christina Dai is an undergraduate double-majoring in Computer Science and Psychology with 17 years of hands-on experience across research, cybersecurity, and behavioral health contexts. Based in California, she blends numerical and back-end engineering skills—demonstrated by substantive contributions to the SPECFEM2D seismic simulation code implementing Biot poroelastic equations and adjoint methods—with human-centered work in pedagogy and behavioral interventions. She has practical cloud and observability experience from LLNL and containerized security tooling from industry internships, and she supports student learning as a TA and research assistant at Santa Clara University. Christina’s profile uniquely combines computational geophysics expertise with applied psychology, enabling her to tackle technical problems while keeping user and community impacts front and center.
SPECFEM2D simulates forward and adjoint seismic wave propagation in two-dimensional acoustic, (an)elastic, poroelastic or coupled acoustic-(an)elastic-poroelastic media, with Convolution PML absorbing conditions.
Role in this project:
Back-end Developer & Numerical Methods Specialist
Contributions:78 commits, 3 PRs in 4 years 6 months
Contributions summary:Christina significantly modified the SPECFEM2D code, focusing on implementing Biot poroelastic equations and the adjoint method. Their contributions included adding new files and altering existing ones, particularly `assemble_MPI.F90` and `compute_forces_fluid.f90`, which deal with numerical simulation techniques. They also fixed several bugs related to adjoint source calculations and added capabilities for handling multiple sources and surface waves, demonstrating expertise in computational seismology and wave propagation.
SPECFEM++ is a complete re-write of SPECFEM suite of packages (SPECFEM2D, SPECFEM3D, SPECFEM3D_GLOBE) using C++
Contributions:1 PR, 17 pushes, 15 branches in 6 days
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