Damon Runyon Researchers

Meet Our Scientists
Jeremy Copperman, PhD

Cancer cell populations within a tumor are often diverse, and the dynamic shifting of cell state plays a major role in treatment resistance and cancer metastasis. Dr. Copperman is utilizing tools from statistical physics and modern machine learning to predict how subpopulations of cancer cells continuously adapt to survive and eventually metastasize to other organs in the body. Using time-resolved single-cell imaging and molecular measurements to inform data-driven models, he aims to develop predictive whole-cell modeling and optimal control strategies for heterogeneous cellular populations.

Project title: "Whole-cell modeling for the prediction and control of micro-environmentally regulated proliferative and migratory variability"
Institution: Oregon Health & Science University
Award Program: Quantitative Biology Fellow
Sponsor(s) / Mentor(s): Daniel M. Zuckerman, PhD, and Joe W. Gray, PhD
Cancer Type: All Cancers