Jeremy Copperman is a Knight Cancer Institute Associate Scientist developing machine learning and physics-based models dedicated to biological discovery enabling the control of cancer initiation and progression. Jeremy completed his Ph.D. in physics at the University of Oregon and has developed and applied data-driven computational methods across diverse areas including single-particle imaging (University of Wisconsin-Milwaukee) and molecular dynamics (Zuckerman Lab, OHSU), and as a Damon Runyon Cancer Research Foundation Quantitative Biology fellow, he created novel multidomain models integrating live-cell behaviors and multi-omic measurements.