PhD Researcher · Computational Medicine

Your heart is unique. Your healthcare should be, too.

Building the mathematical and computational infrastructure for cardiac digital twins.

It is incredible to see the level of rigor and design that goes into almost every field of engineering, from building skyscrapers to rocket ships. One may ask themselves, why isn’t there the same level of engineering and precision in medicine as in these other fields. One major reason is the complexity and the amount that is unknown in biological systems due to their nonlinear, multiphysics, and multiscale nature. In recent years, computational hardware and software along with mathematical advancements have come to a point where these difficult questions can start being answered. As computation enables the science to dig deeper than ever before, there is hope to create digital twins not only in cardiology but across medicine. This technology could potentially revolutionize medicine; shifting perspective from generalized treatment to patient-specific regimens.

My doctoral research at the Oden Institute for Computational Engineering and Sciences lives at the intersection of rigorous mathematics, cutting-edge computation, and grand challenge engineering applications. As a member of the Willerson Center for Cardiovascular Modeling, the grand challenge we face is improving our understanding of the heart in health and disease. Through my time at UT Austin, I have learned from experts on a wide array of subjects from non-self-adjoint operator theory to CUDA programming to clinical pathophysiology. I am currently the lead developer for CARDIAX and CARDIAX-NNFE, where I have focused on creating high-performance finite element simulations and scientific machine learning integration utilizing JAX software and Texas Advanced Computing Center’s Nvidia GPUs. I am dedicated to architecting the mathematical foundations and computational infrastructure required to bring engineering precision to the future of healthcare.

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