Center Trainee Defends PhD on High-Performance Modeling of Cancer Metastasis

This week, Center for Computational and Digital Health Innovation trainee Aristotle Martin successfully defended his PhD dissertation, “Parallel Adhesive Dynamics With Adaptive Physics Refinement for Large-Scale Tracking of Circulating Tumor Cells.” 

Working in the Randles Lab, his work advances computational approaches for understanding cancer metastasis by developing a scalable, performance-portable multiphysics platform to model how fluid-derived forces and wall shear stress influence circulating tumor cell behavior.

By enabling high-throughput, physiologically relevant simulations on modern high-performance computing architectures, this research lays the groundwork for simulation-driven discovery and future translational efforts in anti-metastatic therapy development.