Sherif Gadoue
Assistant Professor
The University of Texas MD Anderson Cancer Center at Houston
Department of Radiation Physics
As a clinical proton medical physicist with a computational focus, I concentrate on the development of innovative clinical solutions in particle therapy. My research centers on Monte Carlo simulation of radiation transport using the modeled MD Anderson spot scanning proton beam. These full-scale simulations enable more accurate computation of LET that is essential for quantifying the biological effectiveness of proton therapy and can be incorporated into robust optimization. In addition to Monte Carlo simulation, my scientific background includes extensive experience with deterministic Boltzmann solvers, mathematical modeling, and optimization algorithms, supported by proficiency in several programming languages and a solid foundation in the mathematical principles behind algorithm development. I am particularly interested in the integration of physics, mathematics, computation, and clinical practice, and I view this intersection as a key driver of innovation in radiation therapy. A central focus of my work is not only to generate a single optimized treatment plan, but rather to produce a database of optimized plans, allowing clinicians the flexibility to explore trade-offs between competing clinical objectives. This approach supports more data-informed decision-making and improve patient outcomes. Additional ongoing projects include treatment plan automation, GPU-accelerated Monte Carlo for online adaptive therapy, and the generation of proton plans database that incorporate LET/RBE.
Education & Training
PhD, University of Massachusetts, 2017