Cavitating bubbles can ablate cancer cells, fragment tissues, and deliver drugs, among other functions. I create high-fidelity computational methods to simulate these dynamics. Examples are:
These enable realistic simulation of the bubble populations that nucleate during treatment. This has impacted application-specific treatments, including:
Perspective on bubble utilization can come from a surprising source: animals. Humpback whales hunt using bubbly regions (called bubble nets) and loud vocalizations. Specifically, they
While fascinating, the acoustic mechanisms enabling this behavior are not understood. My ensemble-averaged bubbly flow model simulates the relevant acoustic phenomena, advancing our interpretation of this behavior. Similar outcomes are desirable for sensitive, implanted biomedical devices.
Designing medical therapies requires efficient optimization algorithms. Current methods fail to account for the material interfaces or shock waves that occur during treatments like lithotripsy and histotripsy. I created an adjoint-based technique for navigating these complications and computes the gradient-based information required for such optimization and sensitivity analysis. Coupling with PlasCom2 provides a full optimization framework for medical therapies and devices.
I create simulation methods for the cellular flows that occur in vivo and in biomicrofluidic devices. These tools are composed of physical models for the cells and particles and numerical methods to solve for their motion. These are implemented in RBC3D, my state-of-the-art flow solver that resolves all particle-scale interactions. Coupling RBC3D with stability and optimization tools I discovered:
Capsules can deliver drug payloads via the microcirculation and pulmonary system. The capsules dynamics are an important design condition in this application, which are particularly sensitive to the capsule membrane itself. I crafted kinematic stability analyses of this coupled dynamical system, including: