Summary
Michael Barbour is a senior scientist and engineer with 11 years of experience applying computational fluid dynamics, experimental flow systems, and optical image analysis to healthcare problems, particularly pediatric and airway physiology. He builds patient-specific CFD pipelines from 4DCT and couples them with 3D printing and virtual surgery to predict and quantify surgical relief, and has translated similar modeling into low-resource product design such as low-emission biomass cookstoves. With a PhD in Mechanical Engineering from the University of Washington, he blends reduced-order modeling and high-fidelity simulation to cut compute time while preserving clinical accuracy. At Seattle Children’s and UW he has moved methods from simulation to bench validation using custom flow-loops and optical measurement systems, demonstrating a knack for closing the loop between computation, experiment, and real-world impact. Less obvious: he frequently merges biomedical priorities with product-driven thinking—optimizing for deployable solutions across both hospital and global-health contexts.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at University of Washington
Bachelor of Science (B.S.) Mechanical Engineering Mathematics, Bachelor of Science (B.S.) Mechanical Engineering Mathematics at University of Vermont