Ashley Kiemen an assistant professor of pathology and oncology at the Johns Hopkins University School of Medicine. Her research focuses on use of image processing, deep learning algorithms, and the development of novel computational approaches to understand the microanatomy of pancreatic cancer and other cancers. Kiemen’s group has developed CODA, a technique for 3D reconstruction of large tissues at single cell resolution that is capable of integrating molecular and genetic information. Her interests lie in spatially mapping the anatomical, immune, and genetic profiles of pancreatic cancer precursor lesions and pancreatic cancer invasion patterns at local and distant sites. Using CODA, her group is also exploring 3D microanatomy in tissues including the heart, lungs, kidney, and fallopian tubes.

Kiemen received her bachelor’s degree in 2016 from the University of Michigan Ann Arbor where she majored in chemical engineering and her master’s degree in 2017 from the London School of Economics and Political Science, where she majored in philosophy. She received her doctoral degree in 2021 from the Johns Hopkins University, under the mentorship of Denis Wirtz and Pei-Hsun Wu.