Jeremy Copperman is a CEDAR 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). He was most recently a Damon Runyon Cancer Research Foundation Quantitative Biology fellow with Prof. Laura Heiser and Prof. Daniel Zuckerman in the OHSU Department of Biomedical Engineering, creating novel multidomain models integrating live-cell behaviors and multi-omic measurements to determine the molecular mechanisms which control cell-state heterogeneity.