Techniques in Mathematical Oncology

3 credits · Graduate

Advancements in applied mathematics and high-performance scientific computing are increasingly shaping modern medicine and biology, particularly in cancer research. This course addresses a growing need for interdisciplinary training that bridges mathematical modeling, computational methods, and biomedical applications. By integrating mechanistic and data-driven approaches, students will develop the skills necessary to analyze and simulate complex biological systems, with a focus on tumor dynamics, treatment resistance, and medical imaging. The course is particularly valuable for students in medical physics, computational biology, biophysics, and/or biomedical engineering who seek to apply mathematical and computational frameworks to real-world challenges in oncology and beyond.