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

Transition to chaos of flowing red blood cells.
Bryngelson & Freund, Phys. Rev. Fluids (2018)

About me

I am 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 Mathematics from the University of Michigan–Dearborn (2013).

Dr. Spencer H. Bryngelson

  • (2018– ) Senior Postdoc, Caltech
  • (2019) Visiting Researcher, MIT
  • (2017–8) Postdoc, XPACC
  • (2017) Ph.D. TAM, UIUC
  • (2013) B.S.+B.S, Michigan


5 November, 2020

Paper on QBMMlib was published by SoftwareX after revision. It's open access, check it out!

13 August, 2020

Preprint released on QBMMlib, our open-source solver for quadrature moment methods!

11 August, 2020

Preprint submitted on data assimilation for rheometric data!

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