PRISM Lab Predictive In Silico Medicine

Join the PRISM Lab

We are recruiting students and postdoctoral researchers interested in computational medicine, cardiovascular biomechanics, and scientific machine learning. Help us build predictive tools for better patient care.

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Research

Predictive Modeling and Clinical Translation

Predictive Modeling and Clinical Translation

We use computational models of cardiovascular behavior to predict surgical outcomes, define safety limits, and advance the clinical translation of new cardiovascular technologies.

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Multiscale Modeling and Machine Learning Integration

Multiscale Modeling and Machine Learning Integration

We combine multiscale physics-based simulations with scientific machine learning to connect biological mechanisms, vascular development, and predictions of cardiovascular disease.

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Multiphysics Solvers

Multiphysics Solvers

We develop multiphysics solvers capable of simulating complex cardiovascular behavior. This includes integrating mathematical models of fluid dynamics and vascular solid mechanics into finite-element frameworks and designing novel numerical methods to improve accuracy and computational efficiency. The resulting solvers are used for translational medical research and are available as open-source tools for the scientific community.

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People

Faculty

Erica L. Schwarz
Assistant Professor
The University of Texas at Austin

Collaborators

David S. Li
Assistant Professor, Biomechanics
University of Nebraska at Omaha
Qianying Cao
Assistant Professor
Rochester Institute of Technology