Microfluidic affinity-based capture of extracellular vesicles (EVs) holds great promise for disease diagnostics and monitoring therapeutic EV production. However, optimizing microfluidic channel geometries for efficient EV capture remains understudied due to the effort required to experimentally test numerous designs. To overcome this, we developed an automated parallel pattern search (PPS) optimizer integrating Python, COMSOL Multiphysics, and high-performance computing. We applied this approac