I love doing big science on big computers. That's why my open-source academic research focuses on using techniques from high-performance computing, such as GPU and distributed computing, to implement parallel-in-time integration methods, like the Parareal, PFASST, and MGRIT algorithms, to model extremely-long-term physics. I do so primarily using the Juila language, though I aim to incorporate more explicit use of CUDA, Fortran, and C. This work currently takes the form of PararealGPU.jl.
More specifically, my current interest is in the momentum distribution of spontaneously created massless, spin-0 quasi-particles in analog (3+1)-dimensional inflationary cosmologies arising from the phase-dynamics of Bose-Einstein condensates.
Previous research includes computationally investigating the role of microscopic molecular structure (quadrupolar) in emergent quantum many-body phenomena of a Bose-Einstein condensate of rigid-rotor molecules. Spoilers: there's a second order transition between the uniaxial and biaxial liquid-crystal-like nematic phases.
When I'm not doing science, I love playing and leading Dungeons & Dragons with friends, disc golf, coffee, movies, and progressive metal such as TOOL.