Breakdown and transition of a flowing red blood cell train. Bryngelson & Freund, Phys. Rev. Fluids (2018)

SHB presenting a new sub-grid model at ICMF in Rio
SHB presenting a new sub-grid model at ICMF in Rio

New biomedical devices and therapies stand to improve human health outcomes the world over. Though innovating in this space is challenging, predictive simulation tools provide a promising path forward. I am a computational scientist who clears these paths via new data-driven models, numerical algorithms, and extreme-scale software. Recent examples include the most efficient sub-grid model for simulating cavitation, a very-low-order model for cell-scale blood flow, and MFC, my scalable open-source multi-phase flow solver. These developments guide biomicrofluidic device design and improve human patient outcomes for a range of medical treatments (e.g. burst-wave lithotripsy).


I am currently a Senior Postdoctoral Scholar at the California Institute of Technology, working with Professor Tim Colonius. I also work with Professor Themis Sapsis at the Massachusetts Institute of Technology on machine-learned model closures. Previously, I was a Postdoctoral Researcher at the Center for Exascale Simulation of Plasma-Coupled Combustion (XPACC). I have a Ph.D. and M.S. in Theoretical and Applied Mechanics from the University of Illinois at Urbana–Champaign (2017 and 2015), where I worked with Professor Jonathan Freund. I hold B.S. degrees in Mechanical Engineering and Engineering Mathematics from the University of Michigan–Dearborn (2013).

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