My work connects physical modeling, numerical simulation, and emerging computation. The common thread is transport: how fluid, particles, solutes, and information move across complex scales.
Current direction
Developing quantum–classical algorithms for linear transport, iterative homogenization, and multiscale turbulence. This work asks which parts of the fluid-simulation pipeline can be reformulated for quantum computation while retaining physical interpretability.
Current direction
Investigating turbulent flow over flexible surfaces through high-fidelity fluid–structure interaction simulations, with a focus on drag-reduction mechanisms inspired by dolphin-skin dynamics.
Research foundation
Building physiologically realistic CFD models for three-phase blood flow, tumor perfusion, respiratory pathogen transport, and intranasal drug delivery in medical-image-derived airway geometries.
Unifying question
My doctoral research used computational fluid dynamics to study transport in dense tumors and anatomical respiratory airways. Current postdoctoral work expands that foundation into bio-inspired fluid–structure interaction, turbulence, and quantum-native multiscale methods.
Across these systems, the aim is consistent: retain the physics that matter, identify the right computational representation, and develop models that make complex transport more interpretable and tractable.
Computational resources
Turbulent Flow Interaction with Flexible Branched Canopies
Co-PI · MCH250066 · October 2025–September 2026
SDSC Expanse: 5,312,000 CPU core-hours and 40,000 GB project storage. Listed in the CV as an estimated $25,372 resource allocation.