Masoud Zarepisheh is a faculty researcher at Memorial Sloan Kettering Cancer Center with a decade of experience at the intersection of applied mathematics and medical physics. He holds a PhD in Applied Mathematics and advanced through postdoctoral appointments at UC San Diego and Stanford, bringing rigorous quantitative methods to clinical and translational problems. His work blends theoretical modeling and data-driven approaches to improve medical imaging and treatment planning, translating math-heavy techniques into practical tools for oncology. Based in New York, he has a track record of sustained academic productivity and collaborative projects that bridge engineering, physics, and medicine. Less obvious: his career trajectory shows a consistent focus on moving from foundational mathematical theory toward clinically impactful applications, positioning him to lead interdisciplinary teams that operationalize complex algorithms in healthcare settings.
Contributions:6 pushes, 1 branch in 1 year 6 months
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Masoud Zarepisheh - Faculty at Memorial Sloan Kettering Cancer Center