Joshua Marchant

Joshua Marchant is a graduate student in medical engineering and medical physics working to personalize cancer treatment through advanced imaging and computational modeling. His research focuses on predicting the transport and efficacy of targeted alpha therapies in solid tumors using multiscale MRI and biophysical simulations. As a MathWorks Fellow, Joshua will refine a quantitative imaging framework to quantify key microstructural tissue properties—such as blood flow, vessel density, permeability, and tumor cell size—to estimate patient-specific drug delivery and optimize therapeutic dosing. MATLAB has been a cornerstone of Joshua’s research across diverse domains, from modeling the pharmacokinetics of contrast agents in the lung to simulating heat propagation in laser therapies and acoustic transmission through the skull. He harnesses MATLAB’s machine learning and optimization routines, Image Processing Toolbox, and fast matrix solvers to analyze complex datasets, develop real-time image reconstruction algorithms, and build predictive biophysical models for drug transport. His research could help shift cancer treatment from one-size-fits-all protocols to precision strategies informed by patient imaging, advancing a new frontier in quantitative medicine and image-guided therapy.