Christopher Eddy received his PhD in Physics from Oregon State University, where he studied the dynamics of cellular morphology and cell heterogeneity within the triple-negative breast cancer cell line MDA-MB-231. Chris’s previous works developed machine learning, deep learning, and other computational tools to discover unique cell state changes regulated by the mechanics of the extracellular matrix during 3D cell migration. As a Postdoctoral Scholar at CEDAR, Chris aims to bridge his expertise in the cell imaging space with multi-omic data types to form novel joint analyses that deeply characterize single cells and cell populations. Chris grew up in Oregon and loves playing volleyball, going fishing, watching the Mariners, and rereading the Name of the Wind. He is excited to join CEDAR and to work alongside many leading experts to advance CEDAR’s mission.